Cloud Icws Scc Ms Bigdata Services Advanceprogram

58
2013 SERVICES/BigData CLOUD/ICWS/SCC/MS ADVANCE PROGRAM 2013 20 th International Conference on Web Services (ICWS) http://icws.org 2013 10 th International Conference on Services Computing (SCC) http://conferences.computer.org/scc 2013 6 th International Conference on Cloud Computing (CLOUD) http://thecloudcomputing.org 2013 2 nd International Congress on Big Data (BigData) http://www.ieeebigdata.org 2013 2 nd International Conference on Mobile Services (MS) http://www.themobileservices.org 2013 9 th World Congress on Services (SERVICES) http:// http://www.servicescongress.org (Open Access Journals) June 27-July 2, 2013 Santa Clara Marriott 2700 Mission College Boulevard Santa Clara, CA 95054 Tel: +1 408-988-1500 Fax: +1 408-352-4353 Twitter: @servicesconfs Topic: SERVICES2013

description

Cloud Computing

Transcript of Cloud Icws Scc Ms Bigdata Services Advanceprogram

Page 1: Cloud Icws Scc Ms Bigdata Services Advanceprogram

2013 SERVICES/BigData

CLOUD/ICWS/SCC/MS

ADVANCE PROGRAM 2013 20th International Conference on Web Services (ICWS)

http://icws.org

2013 10th International Conference on Services Computing (SCC)http://conferences.computer.org/scc

2013 6th International Conference on Cloud Computing (CLOUD)http://thecloudcomputing.org

2013 2nd International Congress on Big Data (BigData)http://www.ieeebigdata.org

2013 2nd International Conference on Mobile Services (MS)http://www.themobileservices.org

2013 9th World Congress on Services (SERVICES)http:// http://www.servicescongress.org

(Open Access Journals) June 27-July 2, 2013 Santa Clara Marriott

2700 Mission College Boulevard Santa Clara, CA 95054

Tel: +1 408-988-1500 Fax: +1 408-352-4353 Twitter: @servicesconfs Topic: SERVICES2013

Page 2: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

2

CONFERENCE LEADERSHIP TEAM

General Chairs ICWS 2013 SCC 2013

Peter Chen, Carnegie Mellon University & Louisiana State University, USA

Ephraim Feig, Chair, IEEE TC-SVC Louise Moser, UC - Santa Barbara, USA

Andrzej M Goscinski, Deakin University, Australia Ephraim Feig, Chair, IEEE TC-SVC

CLOUD 2013 MS 2013 Rong Chang, IBM T.J. Watson Research Center, USA

Ephraim Feig, Chair, IEEE TC-SVC Ling Liu, Georgia Institute of Technology, USA

Ephraim Feig, Chair, IEEE TC-SVC

BigData 2013 SERVICES 2013 Liang-Jie Zhang, Kingdee International Software Group

CO., Ltd, China Ephraim Feig, Chair, IEEE TC-SVC

Hemant Jain, University of Wisconsin–Milwaukee, USA Ephraim Feig, Chair, IEEE TC-SVC

Program Chairs

ICWS 2013 SCC 2013 Beth Plale, Indiana University, USA

Michael R. Lyu, Chinese University of Hong Kong Jia Zhang, Carnegie Mellon University – Silicon Valley,

USA (Vice Chair)

Michael Goul, Arizona State University, USA I-Ling Yen, University of Texas at Dallas, USA

Patrick C.K. Hung, University of Ontario Institute of Technology, Canada (Vice Chair)

CLOUD 2013 MS 2013

Alan Sussman, University of Maryland, USA Liana L. Fong, IBM T.J. Watson Research Center, USA

Michael Melliar-Smith, UC-Santa Barbara, USA Munindar P. Singh, North Carolina State University, USA

Siobhán Clarke, Trinity College Dublin, Ireland

BigData 2013 Paul Hofmann, Saffron Technology, USA Ming-Chien Shan, SAP Research, USA

Nianjun (Joe) Zhou, IBM T.J. Watson Research Center, USA Ernesto Damiani, University of Milan, Italy

Steering Committee Carl K. Chang, Iowa State University, USA

Ephraim Feig, IEEE TC-SVC, USA Hemant Jain, University of Wisconsin at Milwaukee, USA

Frank Leymann, University of Stuttgart, Germany Calton Pu, Georgia Tech, USA

Jeffrey Tsai, University of Illinois at Chicago, USA Liang-Jie Zhang (Chair), Kingdee International Software Group CO., Ltd, China

Page 3: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

3

Page 4: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

4

Page 5: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

5

Page 6: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

6

Page 7: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

7

Page 8: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

8

Page 9: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

9

Table of Contents

Conference Leadership Team ................................................... ...................................................................2 Program Overview ............................. .......................... .................................................................................. ..... 3

June 27, 2013 (Thursday) ................................................................................................................... ... 3 June 28, 2013 (Friday) ........ ......................... .................................................................................. ... 4 June 29, 2013 (Saturday) .................................. .... ........................................... ............................... .. .. 5 June 30, 2013 (Sunday) ............................................ ...................... ................................................... . 6 July 1, 2013 (Monday) .................................. ..................... ................................... ............... 7 July 2, 2013 (Tuesday) ................................................... ....................................................... .............. 8

CLOUD/ICWS/SCC/BigData/MS/SERVICES 2013 Keynotes ............................ .. ............................ ......... 10 CLOUD/ICWS/SCC/BigData/MS/SERVICES 2013 Plenary Panels ....................... ..................................... 12 CLOUD/ICWS/SCC/BigData/MS/SERVICES 2013 Tutorials ................................ ..................................... 20 2013 IEEE 20th International Conference on Web Services (ICWS 2013) ................................................... 23

Research Track ................................................................................................................................... 23 Applications and Experiences Track .......................................................................................... .... 24 Industry Track ................................................................... .................................... .... 26 Work-in-Progress Track .................... ............................................................................ .... 28

2013 IEEE 10th International Conference on Services Computing (SCC 2013) .. ............................. ........... 29

Research Track ................................................................................................................................... 29 Applications and Industry Track .................................... .... 31 Work-in-Progress Track .................... ................................................................................... .... 35

2013 IEEE 6th International Conference on Cloud Computing (CLOUD 2013) ...................................... 36

Research Track ................................................................................. ................................................. 36 Applications and Experiences Track ............................................... .......................................... .... 38 Industry Track ................................................................... .................................... .... 42 Work-in-Progress Track .................... ........................... ................................................ .... 43

2013 IEEE 2nd International Conference on Mobile Services (MS 2013)......... ............... ........... 45

Research Track ................................................................................................................................... 45 Applications and Industry Track .................................... .... 45 Work-in-Progress Track .................... ................................................................................... .... 46

2013 IEEE 2nd International Congress on Big Data (BigData 2013) ................ ............... ........... 47

Research Track ................................................................................................................................... 47 Applications and Industry Track .................................... .... 49 Work-in-Progress Track .................... ................................................................................... .... 50

2013 IEEE 9th World Congress on Services (SERVICES 2013) ................. .................................................... 52 Workshops ....................................................................... ...................... ............................................ 52 Cloud Cup ........................ ......................................... .............................................................. 57

Conference Room Floor Plan ............................................................... ............................................................. 58 Breakfast Store Location 58 Virtual Conference on Security and Privacy Applied Engineering (VC-SPAE-2013)

Page 10: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

10

IEEE 2013

ICWS/SCC/CLOUD/BigData/MS/SERVICES

Keynote Sessions

Keynote 1: The US Big Data Initiative in Cloud (George Strawn, NITRD, USA) (SERVICES2013-7002)

(06/28 Friday, 9:45-12:00; California Ballroom Salon 1-5)

Abstract: "Big data" is a phrase that has captured much attention in Washington, DC, and around the US. Why so much interest now in an activity that many scientific disciplines have been undertaking for years, if not decades? This keynote speech will attempt to answer these and other interesting questions about big data. It will also describe some of the US Federal government's activities in support of big data research and development in the cloud.

About the Speaker: Dr. George O. Strawn is the Director of the Federal Networking and Information Technology Research and Development (NITRD) National Coordination Office (NCO). He also serves as the Co-chair of the NITRD Subcommittee of the National Science and Technology Council (NSTC) Committee on Technology (CoT), where he oversees the operations and activities of the NITRD Program. The NCO reports to the Office of Science and Technology Policy (OSTP), Executive Office of the President. Dr. Strawn is on assignment to the NCO from the National Science Foundation (NSF), where he most recently served as Chief Information Officer (CIO). Prior to his appointment as NSF CIO, Dr. Strawn

served as the executive officer of the NSF Directorate for Computer and Information Science and Engineering (CISE) and as Acting Assistant Director for CISE. Previously, Dr. Strawn had served as the Director of the CISE Division of Advanced Networking Infrastructure and Research, where he led NSF’s efforts in the Presidential Next Generation Internet Initiative. Prior to coming to NSF, Dr. Strawn was a Professor and Chair of Computer Science department at Iowa State University. Dr. Strawn received his Ph.D. in Mathematics from Iowa State University and his BA Magna Cum Laude in Mathematics and Physics from Cornell College. He is a Fellow of AAAS.

Keynote 2: Using Crowdsourcing for Data Analytics (Hector Garcia-Molina, Stanford University, USA) (SERVICES2013-7003)

(06/28 Friday, 15:25-16:35; California Ballroom Salon 1-5)

Abstract: It may sound contradictory to use humans to analyze big data, since humans cannot process huge amounts of data, may be error prone and are relatively slow. However, humans can do certain tasks much better than machines, e.g., tasks that involve image analysis or natural language. In this talk I will discuss how humans can be judiciously used to improve data analytics by cleansing, clustering and filtering critical data. I will also briefly describe ongoing work at our Stanford InfoLab in this area.

About the Speaker: Hector Garcia-Molina is the Leonard Bosack and Sandra Lerner Professor in the Departments of Computer Science and Electrical Engineering at Stanford University, Stanford. He was the chairman of the Computer Science Department from January 2001 to December 2004. From 1997 to 2001 he was a member the President's Information Technology Advisory Committee (PITAC). From August 1994 to December 1997 he was the Director of the Computer Systems Laboratory at Stanford. From 1979 to 1991 he was on the faculty of the Computer Science Department at Princeton University. His research interests include distributed computing systems, digital libraries and database systems. He received a

BS in electrical engineering from the Instituto Tecnologico de Monterrey, Mexico, in 1974. From Stanford University, he received in 1975 a MS in electrical engineering and a PhD in computer science in 1979. He holds an honorary PhD from ETH Zurich (2007). Garcia-Molina is a Fellow of the ACM and of the American

Page 11: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

11

Academy of Arts and Sciences; is a member of the National Academy of Engineering; received the 1999 ACM SIGMOD Innovations Award; is a Venture Advisor for Onset Ventures, is a member of the Board of Directors of Oracle, and is a member of the State Farm Technical Advisory Council.

Keynote 3: Cloud Computing Transformation in Services and the Next Generation of Cloud Architecture (Sesh Murthy, IBM, USA) (SERVICES2013-

7004) (06/29 Saturday, 9:45-11:00; California Ballroom Salon 1-5)

Abstract: In the last half century, we have seen how computing has evolved – from back office computing to client server computing to internet based e-business. A new inflection point is occurring in the industry, driven by the confluence of social, mobile, and cloud technologies and the rise of Big Data and analytics. Our clients see this as both an opportunity and a challenge as they grapple with the implications of change. In this session, we’ll look at what our clients are telling us about their IT evolution and how they are using cloud computing to drive innovation. Dr. Murthy will discuss security, services management, and application migration to the cloud as key elements to our clients' transformation. We’ll also look briefly at the future as convergence and the demand for interoperability define the next generation of cloud architecture.

About the Speaker: Dr. Sesh Murthy is a VP of Cloud Solutions and Innovation in IBM Global Technology Services. He is currently responsible for identifying and prototyping new technologies for IBM’s managed cloud services and has led teams that designed the IBM SmartCloud Enterprise and SmartCloud Enterprise + solutions. Prior to this assignment, Dr. Murthy was a VP and CTO for IBM Industrial Sector Solutions, leading a team of software solution architects to define and architect industry specific solutions for IBM’s largest clients. He also has worked in IBM Research and IBM Software Group and has led design and

architecture teams for RFID and store solutions in the Distribution Sector as well as scheduling solutions in the Industrial Sector. Dr. Murthy received his Ph.D. from Carnegie Mellon University. He has published extensively and has several patents, and is recognized as an IBM Master Inventor.

Keynote 4: Managing the Data Flood in Scientific Domains (Arie Shoshani, Lawrence Berkeley Lab, USA) (SERVICES2013-7005)

(06/29 Saturday, 14:30-15:45; California Ballroom Salon 1-5)

Abstract: In this talk, I will start by describing emerging challenges with the rapid increase in volume and complexity of data in scientific domains, with focus on support of data management, analysis and visualization of large-scale simulation data. This will be followed with a description of the recently formed Institute under the DOE SciDAC program, named the SDAV (Scalable Data-management, Analysis, and Visualization) institute. I will present multiple examples of existing techniques and tools in response to such challenges faced by the data flood in various scientific applications.

About the Speaker: Arie Shoshani is a senior staff scientist at Lawrence Berkeley National Laboratory. He joined LBNL in 1976, and currently heads the Scientific Data Management Group. He received his Ph.D. from Princeton University. His current areas of interest are in data models, storage management, wide-area data movement, and scientific data indexing. Arie is currently the director of the Scientific Data Management, Analysis, and Visualization (SDAV) Institute, which includes experts in these areas from 6 DOE labs and 7 universities. In 2008, he received the R&D100 award along with 3 colleagues, for the development of FastBit, a highly efficient bitmap Indexing method.

Page 12: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

12

Plenary Panel 1: Advanced Analytics for Big Data (SERVICES2013-7006) (06/28 Friday, 16:45-18:00; California Ballroom Salon 1-5)

Moderator: Tony Shan, Advisory Consultant of Wipro, USA Panelists: David Champagne, Chief Architect & VP Research of Revolution Analytics

Erik Marcade, Founder and CTO of KXEN Jari Koister, CTO and VP Technology of AgilOne Roman Stanek, CEO and Founder of GoodData

Abstract: Big data analytics enables organizations to develop advanced models to analyze large internal and external data sets. Enterprises use predictive models to enhance business performance, reduce costs, improve service quality and mitigate risks. Predictive analytics are increasingly yielding previously unreachable insights into big data, however, a number of challenges remain in this evolving space. For example, how do we tailor a model to an available data set? Can models be reused to reduce cost additional models? How can our models accommodate tens, hundreds, even thousands of data dimensions? Can we perform predictive analytics in real-time? Can our models scale to rapidly growing data? How do we efficiently deal with bad data? The industry experts on this panel will share their perspectives, experience and advice with you. About the Moderator:

Tony Shan has decades of field experience and expertise on enterprise computing technologies. He has directed and advised the pragmatic lifecycle design of large-scale award-winning distributed systems on diverse platforms in Fortune 50 companies and public sector organizations. He is a regular speaker and organizer in preeminent conferences, a book author, an editor/editorial advisory board member of IT research journals, and a founder of several user groups and forums.

About the Panelists: David Champagne is an innovative technology leader with over 20 years of experience in enterprise and web application development for business customers across a wide range of industries. As Principal Architect/Engineer for SPSS, David led the development teams, created and led the text mining architecture team and was responsible for a variety of open source initiatives. Prior to that, he served as Vice President of Software Engineering for LexiQuest, in charge of software development, quality assurance and publications for the company's entire product line. Earlier in his career, David was a systems engineer for Honeywell, and was also a freelance software consultant. He is a 1984 graduate of Southern Illinois University.

Erik Marcade is responsible for software development and information technologies at KXEN. He has over 25 years of experience in the artificial Intelligence and machine learning industry. Prior to KXEN, Erik developed real-time software expertise at Cadence Design Systems, accountable for advancing real-time software systems as well as managing "system-on-a-chip" projects. He also co-founded Mimetics, a French company that sold development environment, optical character recognition (OCR) products and services using neural network technology. Prior to Mimetics, Erik joined Thomson-CSF Weapon System Division (now Thales) as a software engineer and project manager working on the application of artificial intelligence

for projects in weapons allocation, target detection and tracking, geo-strategic assessment, and software quality control.

Dr. Jari Koister is the CTO and VP Technology at AgilOne, a Big Data Predictive Analytics company based in Mountain View, California. Jari has long experience from research and product development at companies such as Salesforce.com, HP Labs, Commerce One and Metrima. He is the founder and CTO of Groupswim.com a cloud based social enterprise solution. He also founded Qrodo, a cloud based sports cast service. While at Salesforce.com, Dr. Koister was responsible for the development of Chatter, a social enterprise application used by hundreds of thousands of companies. Dr. Koister holds a Ph.D in Distributed Computing from the Royal Institute of Technology, Stockholm, Sweden.

Roman Stanek is a passionate entrepreneur and industry thought leader, with over 20 years of high-tech experience. His latest venture, GoodData, was founded in 2007 with the mission to disrupt the business intelligence space and monetize big data. Prior to GoodData, Roman was Founder and CEO of NetBeans, the leading Java development environment (acquired by Sun Microsystems in 1999) and Systinet, a leading SOA governance platform (acquired by Mercury Interactive, later Hewlett Packard, in 2006).

Page 13: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

13

Plenary Panel 2: Role of SOA in Big Data Computing (SERVICES2013-7007) (06/29 Saturday, 16:00-17:15; California Ballroom Salon 1-5)

Moderator: Beth Plale, Indiana University, USA Panelists:

Michael Goul, Arizona State University, USA Michael R. Lyu, Chinese University of Hong Kong, China I-Ling Yen, University of Texas at Dallas, USA

About the Moderator: Dr. Beth Plale is Professor of School of Informatics and Computing at Indiana University. She is Director of the Data to Insight Center, and Managing Director of Pervasive Technology Institute (PTI). She has broad research and governance interest in long term preservation and access to scientific data, and enabling computational access to large-scale data for broader groups of researchers. Her specific research interests are in tools for metadata and provenance capture, data repositories, cyberinfrastructure for large-scale data analysis, and workflow systems. Dr. Plale has published over 100 journal papers, book chapters, and conference papers. She received her Ph.D from State University of New York, Binghamton, followed with

postdoctoral work at Georgia Institute of Technology.

About the Panelists: Michael Goul is Professor and Chair of the Department of Information Systems, W.P. Carey School of Business, Arizona State University. His research bridges services computing and analytics. He was Co-PI on grants from Intel and American Express at the intersection of these areas, and he recently authored a case on eBay’s approach to experimentation that relies on a multi-tenant, self-service data warehouse infrastructure. His work in services computing led to a one-year appointment as a Distinguished University Scholar at the Clinton School of Public Service. Goul is also on the research faculty of the W.P. Carey School’s Center for Services Leadership. Michael R. Lyu is a Professor of Computer Science and Engineering Department at The Chinese University of Hong Kong. He is IEEE Fellow and AAAS Fellow. Lyu worked at the Jet Propulsion Laboratory, the University of Iowa, Bellcore, and Bell Laboratories. His research interests include service computing, software reliability engineering, dependable computing, distributed systems, big data, and machine learning. He has published over 400 refereed journal and conference papers in these areas. He was the Founding Chair of ISSRE and Program Chair for ISSRE'96, WWW10, and ICWS’2013; General Chair for ISSRE'2001, PRDC'2005, and DSN’2011. He served as an Associate Editor of IEEE Transactions on Reliability, IEEE

Transactions on Knowledge and Data Engineering, and Journal of Information Science and Engineering. Lyu received his Ph.D in Computer Science from University of California, Los Angeles.

Dr. I-Ling Yen is a Professor of the Computer Science Department at the University of Texas at Dallas. She received her BS degree from Tsing-Hua University, Taiwan, and her MS and PhD degrees from the University of Houston. Her research interests include Service-Oriented Computing, Cloud Computing, Dependable Distributed Systems, and High Assurance Systems. Dr. Yen has served as the Program Chair, General Chair, as well as program committee member for many conferences. Currently she is on the editorial boards of IEEE Transaction on Service Computing, Knowledge and Information Systems, and

International Journal on Artificial Intelligence Tools. She is a Senior Member of the IEEE.

Plenary Panel 3: Cloud in Action (SERVICES2013-7008) (06/30 Sunday, 9:45-11:00; California Ballroom Salon 1-5)

Moderators: Alan Sussman, University of Maryland, USA Panelists: Lorraine Herger, CIO, IBM T.J. Watson Research Center, USA

Andrzej M Goscinski, Deakin University, Australia Dilma Da Silva, Qualcomm Research, USA Charlie Sum, Intel Hybrid Cloud, USA

Tony Wasserman, Carnegie Mellon University – Silicon Valley, USA

Abstract: Cloud computing is currently a pervasive platform for delivering IT services via hardware, middleware, and applications. The panelists will share some key perspectives based on their experiences in academia, industry and government on how cloud computing is used, provided, and built with the current generation of technologies. They will also assess technology gaps and future research and development directions.

Page 14: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

14

About the Moderator: Dr. Alan Sussman is a Professor in the Computer Science Department and Institute for Advanced Computer Studies at the University of Maryland. Working with students and other researchers at Maryland and other institutions he has published over 100 conference and journal papers in various topics related to software tools for high performance parallel and distributed computing, and has contributed chapters to 6 books. Software tools he has built have been widely distributed and used in many computational science applications, in areas such as earth science, space science, and medical informatics. He received his Ph.D. in computer science from Carnegie Mellon University.

About the Panelists: Lorraine Herger is the Director of Integrated Solutions and CIO of IBM Research. In this role, Lorraine is the service provider for the IBM Research Division. As part of being the Research CIO, Lorraine provides cloud services to the Research team as a worldwide distributed service. Over time, the 'move to cloud' has transformed the way in which IBM Research executes its computation, by moving to a consolidated model which has proved to be effective and efficient. Lorraine holds a BSEE from University of Maryland; BA, Columbia University and MBA, Stern School of Business, NYU. Ms. Herger is currently the VP, and

incoming President, of the SWE-NY Professional Chapter, a Senior Member of the IEEE and the SWE-ABET (Accreditation Board for Engineering and Technology) representative.

Andrzej A. Goscinski has had a long-standing interest in distributed systems, parallel processing, virtualization, autonomic and service computing, and cloud computing. His major achievements include the concept of abroker that led to its use in clouds; the Resource Via Web Services (RVWS) framework that contains service’s dynamic state and characteristics, and service publishing, selection and discovery; the contribution to level of cloud abstraction in the form of CaaS (Cluster as a Service); and comparative study of High Performance Computing clouds.

Dr. Dilma Da Silva is a Principal Engineer & Manager at Qualcomm Research. Her primary research

interests are cloud computing, high-end computing, distributed computing, and operating systems. She is an ACM Distinguished Scientist and an ACM Distinguished Speaker. She is a member of the boards of CRA-W (Computer Research Association’s Committee on the Status of Women in Computing Research) and a Committee Member at CDC (Coalition for Diversity in Computing). Dr. Silva received her PhD in Computer Science from Georgia Tech. Prior to Qualcomm, she worked as a Research Staff Member at IBM

Research. She was an Assistant Professor at University of Sao Paulo, Brazil, from 1996 to 2000.

Charlie Sum is Sr Director at Intel hybrid cloud. He has been involved in cloud computing for the past ten years. Prior to his current work on IOT sensor analytic at Intel, he was the Vice President of Emerging Technology at Oracle Cloud Services, responsible for improving SLA and service quality for its enterprise customers. His pioneering work there on autonomic monitoring and diagnostics, and on database performance prediction has won him four patents so far. Charlie is also active in the start-up world where he has served as advisors to thirteen start-up founders and CEO’s. His current interests span from social graphs for retail analytic to Big Data for

connected vehicle and geo-monitoring.

Anthony I. (Tony) Wasserman is a Professor of Software Management Practice at Carnegie Mellon Silicon Valley, and the Executive Director of its Center for Open Source Investigation (COSI). Tony is both ACM and IEEE Fellow. Prior to CMU, Tony was a Professor at UC San Francisco, CEO of Interactive Development Environments (IDE), VP of Bluestone Software, and Director at HP. At IDE, he released Pictures multiuser modeling environment, among the very first commercial products to include open source software. Tony served as General Chair of the 2009 Int'l. Conf. on Open Source Systems. He is on the Board of Directors of the Open Source Initiative (OSI) and the Board of Advisors of Open Source for America. Within the last year, Tony received the 2013 ACM's SIGSOFT Influential Educator Award, and

2012 Distinguished Educator Award from the IEEE's Technical Council on Software Engineering. Tony earned his Ph.D degree in Computer Science from University of Wisconsin – Madison.

Plenary Panel 4: Security and Engineering in Big Data (SERVICES2013-7009) (06/30 Sunday, 12:00-13:15; California Ballroom Salon 1-5)

Moderator: Ernesto Damiani, University of Milan, Italy Panelists:

Rafae Bhatti, Southern California University, USA Marcello Leida, Etisalat BT Innovation Center (EBTIC), U.A.E. Gail-Joon Ahn, Arizona State University, USA

Page 15: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

15

Yuqing Gao, IBM T.J. Watson Research, USA Bhavani Thuraisingham, University of Texas, Dallas, USA

Abstract: Big Data are huge amounts of digital information that socio-economic actors collect about individuals, their activities and the context where they operate. Big Data explosion is a recent phenomenon: some estimates say that about 90% of available information worldwide was created after 2010. Today, Big Data exhibit high diversity of data sources, formats and of query/mining techniques. Still, they have several common features: Big Data sources are often stream-like in nature and Big Data are mostly stored on large-scale cloud infrastructures, where they are sometimes shared between clouds and migrated from one cloud to another. The security community has started to notice that these unique features of Big Data are creating an unprecedented attack surface. Traditional data security mechanisms, which are tailored to securing small-scale, fixed-schema, static information, look inadequate for this setting. The panel will present a unique view of the major open problems in Big Data security and privacy, setting a research agenda and pointing to some promising solutions.

About the Moderator: Ernesto Damiani is a full professor at the Università degli Studi di Milano and the Head of the PhD program in computer science. Ernesto’s areas of interest include cloud-based service and process analysis, processing of semi and unstructured information, knowledge representation and sharing. Ernesto has published several books and about 300 papers and international patents. He leads/has led a number of international research projects: he is the Principal Investigator of the ASSERT4SOA project (STREP) on the certification of SOA; leads the activity of SESAR research unit within SecureSCM (STREP), ARISTOTELE (IP), PRACTICE ((IP) ASSERT4SOA (STREP), and CUMULUS (STREP)

projects funded by the EC in the 7th Framework Program. Ernesto has been an Associate Editor of the IEEE Trans. on Service-Oriented Computing since its inception. Also, Ernesto is Editor in Chief of the International Journal of Knowledge and Learning (Inderscience) and of the International Journal of Web Technology and Engineering (IJWTE). He has served and is serving in all capacities on many congress, conference, and workshop committees. He is a senior member of the IEEE and ACM Distinguished Scientist.

About the Panelists: Gail-Joon Ahn, Ph.D, is an Associate Professor of Computer Science and Engineering at Arizona State University and Director of Laboratory of Security Engineering for Future Computing (SEFCOM: sefcom.asu.edu). His research foci include access control, secure information sharing, vulnerability and risk management, identity and privacy management, security-enhanced computing platforms, security architecture for network and distributed systems, and modeling for computer security. His research has been supported by NSF, NSA, DoD, DoE, DoJ, Bank of America, HP, Microsoft and Robert Wood Johnson Foundation. He is currently an information director of ACM Special Interest Group on Security,

Audit and Control (SIGSAC) and he is a recipient of US Department of Energy Early Career Principal Investigator Award and Educator of the Year Award from Federal Information Systems Security Educators' Association (FISSEA). Also, he serves as Associate EIC of IEEE Transactions on Dependable and Secure Computing and Associate Editor of ACM Transactions on Information and Systems Security.

Rafae Bhatti is a Manager of US West region at PwC where he is responsible for development of thought leadership and client delivery for the Data Protection and Privacy practice of the firm. Prior to PwC, he was a Manager in Cyber Security R&D at Accenture Technology Labs, where he helped guide Lab strategic vision around data privacy, and also represented Accenture at leading conferences and panels on topics of data privacy and security, such as the IAPP Privacy Symposium and ACM SACMAT conference. In other roles, he is also an author and part-time educator, and has a passion to share knowledge and engage with the community. He currently lives in the San Francisco Bay Area. Rafae received a Ph.D from Purdue

University in 2006.

Dr. Yuqing Gao is a senior manager and a Research Staff Member at IBM T.J. Watson Research Center. She is a PI for the Data Centric Computing Strategic Initiative, leading the development of massive scale infrastructure middleware for data-centric systems. She is a co-PI for the Workload Optimized Systems Strategic Initiative. Earlier, she headed the Laboratory for Speech to Speech Translation Systems at IBM, and was the principal investigator of DARPA CAST and TransTac Programs at IBM. She received the IEEE Signal Processing Society Best Paper Award for her paper “Maximum entropy direct models for speech recognition” in 2007, and won two DARPA awards for her breakthroughs in the application of translation technology in military and homeland security areas. In 2004, Dr. Gao’s work was recognized by

MIT’s Technology Review Magazine as one of the “Ten emerging technologies that will change your world.” In 2005, her work was a cover story about “What’s Next” in Time magazine. She was featured by CNN, ABC, and BBC. She received IBM Corporate Award, Outstanding Innovation Awards and Research Division Awards. She is a member of IBM Academy of Technology, an IEEE Fellow, published over 120 papers, holds over 30 issued patents.

Page 16: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

16

Marcello Leida received his Ph.D. in Computer Science from the Universita' degli Studi di Milano. His currently works in the Enterprise and Distributed Applications area: leading a research project on Real-time Business Process Analysis. He is responsible for the down-streaming and physical deployment and maintenance in enterprise servers of the research projects developed by the team to production environments and integration of our systems with existing Business Intelligence solutions. His research interests are mainly focused on Semantic Web and Linked Data, Big Data, automatic data visualization techniques, business process analysis and artificial intelligence in general; he published a book, several papers, workshop and journals on these topics. He has been program committee and referee for several

conferences and journals and member of IFIP W.G. 2.6 on database semantics.

Dr. Bhavani Thuraisingham is the Louis A. Beecherl, Jr. DistinguishedProfessor in the Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas (UTD) and the executive director of UTD’s Cyber Security Research and Education Institute. Her current research is on integrating cyber security, cloud computing and big data analytics. Prior to joining UTD she worked at the MITRE Corporation for 16 years including a three year stint as a Program Director at the NSF. She initiated the Data and Applications Security program at NSF and was part of the Cyber Trust theme. Prior to MITRE she

worked for the commercial industry for six years. She is the recipient of numerous awards including the IEEE CS 1997 Technical Achievement Award, the ACM SIGSAC 2010 Outstanding Contributions Award, and a 2013 IBM Faculty Award. She is a Fellow of IEEE, AAAS and the British Computer Society. She has published over 100 journal articles, over 200 conference papers and 12 books and has delivered over 100 keynote and invited addresses.

Plenary Panel 5: Challenges in Cloud Engineering (SERVICES2013-7010) (06/30 Sunday, 16:00-17:30; California Ballroom Salon 1-5)

Moderator: Steve Yau, Arizona State University, USA Panelists:

Rong Chang, IBM T. J. Watson Research Center Steve Diamond, EMC Corporation Ananth Grama, Purdue University Amrit Jassal, Egnyte, Inc. Mohammad Zulkernine, Queen’s University, Canada

Abstract: This panel will discuss a number of challenges for developing cost-effective cloud systems for various applications in the current rapidly changing environments. The considerations will include from the perspectives of clients and service providers, satisfying both functional and quality requirements of user applications, as well as establishment of standards for cloud systems. For examples, business-aligned cloud engineering is still at its infancy in terms of the business demand for IT agility, assured quality of business services, and continual IT ROI optimization. The business-alignment challenge will be elaborated in terms of some open issues in distributed computing, such as availability and performance management in a shared virtualized environment. Development of a cloud application platform, such as mashups across different cloud services, will be discussed. In addition, the obstacles of providing dependability and trustworthiness of cloud systems need to be seriously identified and overcome. The issues related to programming at scale, application semantics, and performance in the context of wide-area cloud deployments will also be addressed.

About the Moderator: Stephen S. Yau is Professor of Computer Science and Engineering and the director of Information Assurance Center at Arizona State University, and served as the chair of Department of Computer Science and Engineering at ASU. Previously, he was on the faculties of Northwestern University and University of Florida. His current research is in cloud and service computing systems, cyber security and software engineering. He served as the president of IEEE Computer Society and on the boards of directors of the IEEE and Computing Research Association. He also served as the EIC of IEEE Computer, and organized

many major conferences. He is an honorary chair of IEEE 2013 ICWS/SCC/CLOUD/MS/SERVICES. He received the Tsutomu Kanai Award and Richard E. Merwin Award of IEEE Computer Society, IEEE Centennial Award and Third Millennium Medal. He is a Life Fellow of IEEE and a Fellow of American Association for the Advancement of Science.

About the Panelists: Rong N. Chang is Manager and Research Staff Member at the IBM T.J. Watson Research Center. He received his Ph.D. degree in computer science and engineering from the University of Michigan at Ann Arbor. Before joining IBM in 1993, he was with Bellcore researching on B-ISDN realization. He received the ITIL Foundation Certificate in IT Services Management, and completed a Micro MBA Program. He received an IEEE Best Paper Award, and many IBM awards, including four corporate-level Outstanding Technical Achievement Awards. He is an associate editor of IEEE Transactions on Services Computing. He has chaired

Page 17: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

17

several conferences and workshops in cloud computing and Internet-enabled distributed services and applications. He is a Senior Member of ACM and IEEE. He is a General Chair of CLOUD 2013.

Steve Diamond is Global Standards Officer and General Manager of Industry Standards at EMC Corporation. He chairs the IEEE Cloud Computing Initiative and the IEEE Cloud Computing Standards Committee. He has 30 years of senior management experience in semiconductors, software, systems, and standards. Prior to EMC, he was Director at Cisco and VP of Marketing at Equator Technologies. Steve has authored more than 20 technical publications. He was the 2003 President of IEEE Computer Society and served on the IEEE Board of Directors. He was awarded the IEEE Third Millennium Medal in 2000.

Ananth Grama is the Director of Computational Science and Engineering and Professor of Computer Science at Purdue University. He is also the Associate Director of the Center for Science of Information, a Science and Technology Center of the National Science Foundation. He received his Ph.D. in 1996 from the University of Minnesota. His primary areas of interest include parallel and distributed computing, computational science and engineering, and large-scale data analytics. He currently serves on the editorial boards of IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, and Parallel Computing, and chairs the Biodata Management and Analysis Study Section of the

National Institutes of Health.

Amrit Jassal is co-founder and CTO of Egnyte Inc., a provider of file sharing platforms that leverage a combination of public and private cloud technologies. At Egnyte he is responsible for setting the technology direction of the company and architecture for all products. Since 1990, he has helped companies design and implement innovative technical solutions for myriad enterprise problems. During stints at Coopers & Lybrand and KPMG, he implemented global enterprise systems at a wide variety of companies, such as Cisco and Lockheed Martin. Prior to founding two startups, he consulted with companies, such as Fujitsu, Lucent, Sun Microsystems. He holds patents in the field of analytics and cloud technologies such as object stores. He received the B.Tech in Computer Science from Indian Institute of Technology, Delhi, and a MBA

from Indian Institute of Management, Bangalore.

Mohammad Zulkernine is a Canada Research Chair in Software Dependability and an Associate Professor at the School of Computing of Queen’s University, Canada. He leads the Queen’s Reliable Software Technology (QRST) research lab. He has taught and received his education in four countries on three continents (Bangladesh, Japan, Canada, and Italy). He received his PhD from the University of Waterloo, Canada. His research projects are supported by a number of provincial and federal research funding agencies. He is also collaborating with various industrial research partners such as Bell Canada and IBM. He was/is program co-chair of SSIRI’11, COMPSAC’12, and HASE’14. He is a senior member of the IEEE, a member

of the ACM, and a licensed professional engineer in the province of Ontario, Canada.

Plenary Panel 6: Big Data VC (SERVICES2013-7011) (07/01 Monday, 9:45-11:00; California Ballroom Salon 1-5)

Moderators: Ming-Chien, Shan, SAP, USA Paul Hofmann, Saffron, USA Panelists: Jake Flomenberg, Accel Venture

Savitha Srinivasan, IBM venture

Gaurav Tewari, SAP Ventures Dharmesh D. Thakker, Intel Capital

About the Moderators: Dr. Paul Hofmann is CTO at Saffron Technology. Before joining Saffron Paul was VP Research at SAP Labs. His background is entrenched in research as Senior Scientist and Assistant Professor at outstanding European and American Universities (Northwestern University, U.S., Munich Institue of Technology and Darmstadt Institue of Technology, Germany) and he is an expert in computer simulations and graphics (Ph.D., research and teaching in Nonlinear Dynamics and Chaos Theory), authoring numerous publications and books, including a book on SCM and environmental information systems as well as performance management and productivity of supply chains. Paul was visiting scientist at MIT, Cambridge in 2009. Paul joined SAP in 2001 as Director for Business Development EMEA SAP AG. Paul has created the

Value Based Selling program for SAP in EMEA. Prior to joining SAP, Paul was Plant Manager at BASF’s Catalysts Global Business Unit. He implemented SAP’s Business Suite in BASF’s Chemicals Division. Paul received his Ph.D. in Physics at the Darmstadt University of Technology, Germany.

Page 18: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

18

Dr. Ming-Chien Shan is VP at SAP, USA. He is in charge of SAP long-term smart city application & business development and Big Data technology scouting and evaluation. Dr. Shan started his career at IBM leading the DB2 technology transfer from research lab to product division, and then joined HP and took various senior management positions to supervise research programs and product developments across US, Europe and China. He has published more than 100 research papers and been granted 80 software patents. He served US NSF as University Grant Examiner for Intelligent database management, workflow and mobile sensor data management program. Dr. Shan served as associate editor of IEEE Journal of

Transactions on Services Computing and of International Journal of Big Data. He has served as chairperson or program committee members in many conferences. Dr. Shan is an adjunct professor at Peking University, also a co-director of the Center of Cloud Computing and Big Data at East China Normal University. Dr. Shan received his PhD degree in computer science from University of California, Berkeley.

About the Panelists: Jake Flomenberg has over a decade of experience building innovative software products. He focuses on early stage investments in next generation infrastructure and data-driven services and Accel's Big Data Fund. Jake currently sits on the board of Origami Logic, provider of a visual Big Data analytics platform for marketers, Trifacta, creator of radical productivity software for data preparation and analysis, and Sumo Logic, a cloud-based log management and analytics solution. Prior to Accel, Jake was Director of Product Management at Splunk where he was responsible for Splunk's user interface and Big Data strategy. Previously, he worked at Cloudera where he helped the founding team tackle a broad array of sales,

marketing, and product issues. Earlier in his career, Jake was a member of Lockheed Martin's Engineering Leadership Development Program. Jake holds a B.S.E. in CS, ECE, and Economics from Duke University, an M.S.E in Systems Engineering from the University of Pennsylvania, and an M.B.A. from Harvard Business School.

Savitha Srinivasan is a Partner in IBM's VC Group in Corporate Strategy where she develops strategic relationships with venture capitalists and their portfolio companies to leverage external innovation for mutual strategic advantage. She has over 20 years of experience at IBM in leadership roles addressing the strategic priorities of IBM’s Services businesses and leads the development of IBM’s Services venture ecosystem. She is currently engaged in driving IBM Watson’s content partnership strategy. Prior to this, she led multiple research teams as Senior Manager at IBM Research's first Services group to create and deliver value for IBM

clients with data mining and business intelligence solutions. Attained ten times return on investment with increased revenue and cost savings exceeding ~$40M. She has over 15 patents in unstructured information management. She received an MS in computer science from Pace University and an executive MBA from Columbia University. She is a member of IEEE and ACM and an area editor for IEEE Computer.

Gaurav Tewari is Executive Director at SAP Ventures where he focuses on expansion- and later-stage investments within Big Data, Software/SaaS, Mobile, Internet, and Next-gen Enterprise sectors. Prior to SAP Ventures, Gaurav was a Principal of Boston-based Highland Capital Partners leading early and growth-stage investments, and has held numerous board seats. Previously, Gaurav was a Corporate Strategy executive at Microsoft Corporation and a management consultant with McKinsey & Company. He started his career in engineering, operations, and product management roles at Microsoft and IBM Research. Gaurav received his MBA from the Wharton School and holds Bachelors and Masters degrees in Computer Science and

Economics from MIT. Gaurav is a co-inventor on 9 issued US technology patents.

Dharmesh D. Thakker focuses on Cloud Infrastructure, Big Data and Embedded Software investments and led Intel’s investment in 10gen, DynamicOps (acquired by VMware), ElasticBox, Enlighted, and Guavus Analytics. He joined Intel Capital from Advanced Technology Ventures where he supported Enterprise Software and Cleantech investments, including Omneon Storage (Harmonic), Qumu (Rimage), Nuventix, and Actifio. Dharmesh brings strong entrepreneurial and operating experience in cloud software and SaaS to support his portfolio companies. At Keynote Systems (KEYN), he launched performance management solutions for many of the world’s leading video, mobile and web apps, and helped grow recurring SaaS

revenue from 0 to $20mm in 2 years. He was also an early team member at InterNetwork (acquired by FinePoint) and Peakstone (acquired by Entrust) leading OEM and channel sales with HP, Exodus, and IBM. He received his MBA from Wharton and a BS in EE from The University of Texas at Austin.

Plenary Panel 7: Context-Aware Mobile Services (SERVICES2013-7012) (07/01 Monday, 12:00-13:15; California Ballroom Salon 1-5)

Moderators: Pankaj Mehra, CTO of Fusion-IO, USA Munindar P. Singh, North Carolina State University, USA Panelists: Martin Griss, Carnegie Mellon University – Silicon Valley, USA

Page 19: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

19

Michael Melliar-Smith, UC-Santa Barbara, USA Nimish Radia, Ericsson, USA

About the Moderators: Dr. Pankaj Mehra is CTO and SVP of of Fusion-IO. Prior to that, Mr. Mehra served as founder and SVP and CTO of Whodini, Inc., an enterprise software company. From January 2008 to August 2010, Dr. Mehra served as Chief Scientist of HP Labs Russia. Dr. Mehra also previously served as a Distinguished Technologist at HP Labs and a Distinguished Technologist (Information Services), HP StorageWorks. Dr. Mehra has co-authored three books, coordinated industry participation in the Stanford University led Collaborative Data Management Initiative, and served on the program committee of International Semantic Web Conference and on the editorial board of IEEE Internet Computing magazine. Dr. Mehra holds a Ph.D. in Computer Science from University of Illinois at Urbana-Champaign.

Dr. Munindar P. Singh is a professor in Computer Science at North Carolina State University. His research interests include multiagent systems, mobile social computing, and trust. His current and past research sponsors include Army Research Laboratory, Army Research Office, Cisco Systems, DARPA, Ericsson, IBM, Intel, National Science Foundation, the Ocean Observatories Initiative, and Xerox. Munindar is a Fellow of the IEEE, a former editor-in-chief of IEEE Internet Computing, current editor-in-chief of the ACM Transactions on Internet Technology, and a current editorial board member of Autonomous Agents and Multiagent Systems, IEEE Internet Computing, ACM Transactions on Intelligent Systems and

Technology, and Journal of Artificial Intelligence Research. Munindar’s home page is http://www.csc.ncsu.edu/faculty/mpsingh/.

About the Panelists: Dr. Martin L. Griss is the Director of Carnegie Mellon University, Silicon Valley campus and Associate Dean of Engineering. He is director of the Disaster Management Initiative, and founder and former director of the Cylab Mobility Research Center. Martin’s recent research interests focus on mobile applications and services, software agents, disaster management, and software reuse. Prior to CMU, Martin spent two decades as Principal Laboratory Scientist at HP and as Director of HP's 70-person Software Technology Laboratory. Prior to HP, Martin was a tenured Associate Professor at University of Utah. He has served on the ACM SIGSOFT Executive Committee, and numerous program committees. He is co-author of the popular book

Software Reuse: Architecture, Process and Organization for Business Success and has published over 70 papers, 80 technical reports, and numerous book chapters, columns, panels, and tutorials. Martin earned his Ph.D. in physics from the University of Illinois.

Michael Melliar-Smith is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. His research interests span the areas of distributed systems, communication networks and protocols, and fault tolerance. He has served as PI for numerous funded research projects from DARPA, AFOSR, NSF, UC Micro and UC Discovery. He has published more than 240 publications, has more than 10 patents. Prior to UCSB, at GEC Computers in England, Dr. Melliar-Smith was principal designer of the GEC 4080, which won the Queen's Award for Innovation. At the University of Newcastle upon Tyne, he invented the definitions of fault, error and failure, as well as the

recovery block method for software fault tolerance. As Senior Computer Scientist and Program Director at Stanford Research Institute, he was involved in the design of the Software-Implemented Fault-Tolerant(SIFT) aircraft flight control computer and was leader of the NASA funded Enhanced Hierarchical Design Methodology (EHDM) project for formal specification and verification.

Dr. Nimish Radia has over 19 years of experience in the IT, mobile, telecom, and finance industry. He has proven leadership in transforming technology into multi‐million dollar profitable vertical and horizontal solutions spanning Service and Web oriented architecture, Service Delivery Platforms for next generation communication and collaboration services, Identity and Context‐Aware Services, Mobile Computing, Targeted Advertising, Big Data, and Cloud computing. Dr. Radia is currently Director of Research leading Ericsson's research and innovation efforts in Silicon Valley for next generation Services and Software in areas such as Big Data, social computing, and contextual user‐centered solutions for Networked Society challenges.

Before joining Ericsson, he was Advanced Technology Executive at Sun, and was senior member of IBM Research and Advanced Software Technology Group. He holds 8 patents and many industry publications.

Page 20: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

20

IEEE 2013

ICWS/SCC/CLOUD/BigData/MS/SERVICES

Tutorials

Tutorial 1: Transformation to Cloud Computing (SERVICES2013-7013)

John Rofrano & Hari Ramasamy, IBM T.J. Watson Research Center, USA

Abstract: In this tutorial, attendees will learn about IT infrastructure transformation activities both in the general sense and with a focus on transformation to cloud computing. In contrast to incremental, organic, and routine changes to the infrastructure, transformation activities are planned, highly coordinated, large-scale changes. We will provide a systematic perspective of techniques that can be applied to various aspects of IT transformation, especially those representing traditional pain points the presenters have experienced in real-life transformation engagements. The audience will learn about the drivers for transformation, the economics of migration to cloud, and the steps involved in the transformation process. Starting with techniques for assessing the value of Cloud as a target for transformation, we will describe well-proven techniques for discovering the as-is state of the infrastructure to be transformed, analysis of the discovered information, planning for transformation, automating the migration to cloud, and testing. We will highlight both conceptual and practical challenges in migrating workloads to the cloud, as well as best practices.

About the Speakers: John Rofrano is a published author and Senior Technical Staff Member in the Services Research department at the IBM T.J. Watson Research Center. John’s current focus is on extreme automation techniques for migrating workloads from traditional data centers into the cloud. During his 29-year career at IBM, John has worked as the Chief Architect for various products such as IBM WebSphere Commerce Edition and IBM Visual Warehouse. John has held various key architectural positions across Software Group, Server & Technology Group, Global Technology Services, and Research.

HariGovind (Hari) Ramasamy is a Research Manager in Services Research at the IBM T.J. Watson Research Center, where he leads programs on cloud resiliency and innovation for technical support services. Hari is the recipient of the IBM Outstanding Innovation Award (2012), IBM Research Division Award (2012), IBM Eminence and Excellence Awards (2012, 2011), C.W. Gear Outstanding Graduate Student Award (2002), and a Best Paper Award from IEEE PRDC (Co-Author, 2002). He obtained his Ph.D. degree in Computer Science from the University of Illinois, Urbana-Champaign.

Tutorial 2: Open Source for Cloud Computing and Practices (SERVICES2013-7014)

Tony Wasserman, Carnegie Mellon University - Silicon Valley, USA Abstract: Since software licenses are approved in 1998, thousands of high quality software products and components have been developed and released under approved licenses. This constantly growing body of high-quality software has driven the growth and acceptance of free and open source software (FOSS). The rapid growth of FOSS has also transformed the software industry, and has led to new businesses that offer FOSS applications, for which they provide paid support services. As the quality and support for FOSS has grown, some governments and corporations have developed policies that include (or sometimes favor) the use of FOSS in their systems. At the same time, FOSS has continued to grow, playing a major role in such areas as cloud computing and management of large datasets. In the context of Cloud Computing, this tutorial describes the benefits of FOSS software for organizations, the ways it can be most effectively used, and the likely future directions for it.

About the Speaker: Anthony I. (Tony) Wasserman is a Professor of Software Management Practice at Carnegie Mellon Silicon Valley, and the Executive Director of its Center for Open Source Investigation (COSI. Tony is both ACM and IEEE Fellow. Prior to CMU, Tony was a Professor at UC San Francisco, CEO of Interactive Development Environments (IDE), VP of Engineering for a dot-com and later became VP of Bluestone Software, and Director at HP. At IDE, he released Pictures multiuser modeling environment, among the very first commercial products to include open source software. Tony is very active

Page 21: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

21

in the international open source research community, and served as General Chair of the 2009 Int'l. Conf. on Open Source Systems. He is on the Board of Directors of the Open Source Initiative (OSI) and the Board of Advisors of Open Source for America. Within the last year, Tony received the 2013 ACM's SIGSOFT Influential Educator Award, and 2012 Distinguished Educator Award from the IEEE's Technical Council on Software Engineering. Tony earned his Ph.D degree in Computer Science from University of Wisconsin – Madison.

Tutorial 3: Big data Techniques for Process Analysis (SERVICES2013-7015)

Marcello Leida, Etisalat BT Innovation Center (EBTIC), U.A.E.

Abstract: Modern Business process analysis requires an extremely flexible data model and a platform able to minimize response times as much as possible. In order to efficiently analyze a large amount of data, this tutorial illustrates novel technologies that rely on an improved data model supported by a grid infrastructure, allowing storing the data in-memory across many grid nodes and distributing the workload, avoiding the bottleneck represented by constantly querying a traditional database. Both process data and domain knowledge are represented using standard metadata formats: process logs are stored as RDF triples referring to company-specific activity ontologies: RDF triples assign meaning to the process logs, ensuring that they can be universally understood and reusable. The data collected by the process log monitor is translated to a continuous flow of triples that capture the status of the processes. This continuous flow of information can be accessed through the SPARQL query language used to extract and analyze process execution data. Although the query engine has been developed as part of a Business Process Monitoring platform, it is a general purpose engine that can be used in any system that requires scalable analysis of semantic data. The system presented has some unique features such as grid-based infrastructure, extreme scalability, efficient real-time query answering and an on the fly access control layer that will be presented in detail during the tutorial together with future research directions. The tutorial will start from the motivations behind the research, it will introduce the data model used to represent the business processes and finally it will describe in detail the various elements and technologies underpinning the architecture of the developed system.

About the Speaker: Marcello Leida received his Ph.D. in Computer Science from the Universita' degli Studi di Milano. His currently works in the Enterprise and Distributed Applications area: leading a research project on Real-time Business Process Analysis. He is responsible for the down-streaming and physical deployment and maintenance in enterprise servers of the research projects developed by the team to production environments and integration of our systems with existing Business Intelligence solutions. His research interests are mainly focused on Semantic Web and Linked Data, Big Data, automatic data visualization techniques, business process analysis and artificial intelligence in general; he published a book, several papers, workshop and journals on these topics. He has been program committee and referee

for several conferences and journals and member of IFIP W.G. 2.6 on database semantics.

Tutorial 4: In Memory Database for Big Data (SERVICES2013-7016)

Jordan Cao, SAP, USA

Abstract: We have entered the era of "big data," where the volume, velocity, and variety of data are exploding at an unprecedented pace. However, the term of Big Data is not clear. It’s actually not primarily about ‘big’, but all about real-time data. The volume and variety are only important because of their impact on velocity. Real-time is the new “real” Big. Now, enterprises are looking for real-time solutions to dramatically accelerate the time from data to decision by minimizing the delay between the transaction and decision. This requires a new approach: in-memory big data solution. This tutorial presents an overview of the in-memory big data industrialization movement, along with real-life working examples and use cases as well as best practices. The tutorial consists of five parts. 1) Fundamental: in-memory big data platform concept, characterization, attributes, value, history, major players, foundational building blocks; 2) Framework: in-memory big data framework, data repository classification, data ingestion, streaming, data compression, scale-out options, and integration; 3) Solutions: techniques, styles, patterns, design, parallel processing, compaction, bulk loading, optimization, real-time, and analytic; 4) Cloud offering: in-memory big data platform on cloud, data loading, IaaS and PaaS; 5) Case study: real-world business scenarios.

About the speaker: Jordan Cao is a Sr. product marketing manager for SAP HANA. He has more than 15 years of experience in computing science, including roles as an SAP senior architect and solution manager. Jordan has participated in multiple SAP projects focused on scientific programming, cloud computing, big data, and services oriented related research and works. He has a PhD in cloud computing, service-oriented architecture, and software engineering, as well as an MBA degree both from Arizona State University.

Page 22: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

22

Tutorial 5: Opportunities and Risk of Outcome Based Business (SERVICES2013-7017)

Nianjun (Joe) Zhou, IBM T.J. Watson Research Center, USA

Abstract: Outcome-based business (OBB) is a business practice that links a service provider’s income to the values delivered by the IT and other capabilities to the client. An OBB engagement typically requires establishing a long-term relationship with the client and reduces the risk for the client during the business transformation. A successful OBB engagement requires the service provider owning a deep understanding of the client’s business and the corresponding business value drivers to achieve the desired goal. As a natural evolution of SOA, outcome-based business further requires the IT enabled have to be goal-oriented. In this talk, we will have an overview of outcome-based business, its philosophies and practices. Then we discuss how to use service-value-map to capture the causality relationship to relationship from IT assets and other business initiatives to business goals. We will discuss how to apply this to different industries, education, health care, retails and telecommunication. We will discuss how to use gap analysis to identify gaps in the client’s financial performance, and identify the business capabilities and IT assets that can improve those financial gaps. We category and discuss the risk of OBB from services provider’s perspective. Based on various contract constructions, we discuss the risk in term of fee-at-risk and potential return of investment. Several characteristic variables are defined to capture the risk factor into a quantitative manner. We will also discuss we can evaluate the risk factors through the contract characteristics (like contract term and payback curve) and service-value-map capturing the causality relationship between the measured KPIs and IT assets selected.

About the Speaker: Dr. Nianjun Zhou is a Research Staff Member of IBM T. J. Watson Research Center. He served as the IBM Professional Interest Group Chair for Services Computing from 2010 to 2012. He is selected as a member of 2013 Best of IBM. His current research areas mainly focus on services sciences and service computing to achieve services optimization with information and analytic solutions. Dr. Zhou has many papers and patents in ad hoc and sensor networks, content management, service-oriented architecture, project estimation, and risk assessment. He is serving as Program Committee Co-Chair of IEEE Big Data 2013, and has severed in program communities for IEEE Cloud,

ICWS and SCC for several years. Dr. Zhou held a Ph.D degree from RPI, and Master and Bachelor degrees from Peking University.

Tutorial 6: Compute to Data (SERVICES2013-7018)

Masood Mortazavi, Huawei, USA

Abstract: This tutorial includes presentation and discussion of topics related to two technological aspects of cloud computing -- compute and data. By "compute" we mean those facilities in the cloud that enable the running of application logic above an operating system or a container environment. We will discuss the classical, cloud computing environments offered by the leading cloud computing service providers. We will discuss some case studies and look at how these compute technologies have evolved in order to address a wider range of market requirements. By "data" we mean those facilities in the cloud that enable the storage of data for future retrieval, query and manipulation. We will discuss various storage facilities (e.g. file, object and record storage as well as volume services) offered by leading cloud storage providers, and will attempt to discern the trade-offs that each of these facilities have made in order to serve their market.

About the Speaker: Dr. Masood Mortazavi is a distinguished engineer at Huawei Technologies. Earlier, Masood worked in the Cloud Platform Group at Yahoo and led advanced projects related to Yahoo's structured record storage, messaging and application container services. Masood led an international group of engineers at Sun Microsystems, focused on the development of open-source databases such as Apache Derby, PostgreSQL and MySQL. At Huawei's Innovation Center in Santa Clara, Masood works on distributed databases and cloud storage systems.

Page 23: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

23

2013 IEEE Twentieth International Conference on Web Services (ICWS 2013)

Research Track

Research Track Session 1 – Mobile and Location-based Service (06/28 Friday, 8:30-9:30; Seattle)

Session Chair: Louise Moser, University of California – Santa Barbara, USA

SLIM: A Scalable Location-Sensitive Information Monitoring Service (ICWS2013-1001) Bhuvan Bamba, Kun-Lung Wu, Bugra Gedik, Liu Lin (Oracle, USA;IBM T.J. Watson Research Center, USA; Bilkent

University; Georgia Tech, USA) Online Role Mining without Over-Fitting for Service Recommendation (ICWS2013-1002)

Victor W. Chu, Raymond K. Wong, Chi-Hung Chi (UNSW; University of New South Wales; CSIRO, Australia) Geographic Location-based Network-Aware QoS Prediction for Service Composition (ICWS2013-1003)

Yuanhong Shen, Jianke Zhu, Xinyu Wang, Liang Cai, Xiaohu Yang, Bo Zhou (Zhejiang University, China)

Research Track Session 2 – Service Composition (06/28 Friday, 13:00-14:00; Seattle)

Session Chair: Andrzej M Goscinski, Deakin University, Australia

Revenue Optimization of Service Compositions using Conditional Request Retries (ICWS2013-1004) Miroslav Živkovic, Hans van den Berg (TNO/UT, The Netherlands)

Dynamic Service Composition with Service-dependent QoS Attributes (ICWS2013-1005) Yuzhang Feng, Le Duy Ngan, Rajaraman Kanagasabai (Institute for Infocomm Research)

Variable Granularity Index on Massive Service Processes (ICWS2013-1006) Cheng Zeng, Zhou Lu, Jian Wang, Patrick C.K. Hung, Jilei Tian (Wuhan University, China; UOIT, Canada; Nokia

Research Center)

Research Track Session 3 – Service Recommendation (06/28 Friday, 14:10-15:10; Seattle)

Session Chair: Stephan Reiff-Marganiec, University of Leicester, UK

Ranking Services by Service Network Structure and Service Attributes (not registered) (ICWS2013-1007) Yang Zhou, Ling Liu (Georgia Tech, USA; IBM Research, USA)

Trace Norm Regularized Matrix Factorization for Service Recommendation (ICWS2013-1008) Qi Yu, Zibin Zheng, Hongbing Wang (Rochester Institute of Technology, USA; Chinese University of Hong Kong)

Recommending Web Services via Combining Collaborative Filtering with Content-Based Features (ICWS2013-1009)

Lina Yao, Quan Z. Sheng, Jian Yu (The University of Adelaide; Swinburne University of Technology)

Research Track Session 4 – Quality of Service (06/29 Saturday, 8:30-9:30; Seattle)

Session Chair: Mikio Aoyama, Nanzan University, Japan

Event-based Multi-level Service Monitoring (ICWS2013-1010) Luciano Baresi, Sam Guinea (Politecnico di Milano, Italy)

Selecting Top-k Composite Web Services using Preference-aware Dominance Relationship (ICWS2013-1011) Shaoqian Zhang, Wanchun Dou, Jinjun Chen (Nanjing University, China; Swinburne University of Technology)

Agent-Based Green Web Service Selection and Dynamic Speed Scaling (ICWS2013-1012) Jiwei Huang, Chuang Lin (Georgia Institute of Technology, USA; Tsinghua University, China)

Research Track Session 5 – Social-based Recommendation (06/29 Saturday, 12:00-13:00; Seattle)

Session Chair: Hemant Jain, University of Wisconsin–Milwaukee, USA

A Framework for Web Service Usage Profiles Discovery (ICWS2013-1013) Bruno Vollino, Karin Becker (Universidade Federal do Rio Grande do Sul)

Mashup Service Recommendation based on User Interest and Social Network (ICWS2013-1014) Buqing Cao, Jianxun Liu, Mingdong Tang, Zibin Zheng, Guangrong Wang (Hunan University of Science and

Technology, China; The Chinese University of Hong Kong) A Social-Aware Service Recommendation Approach for Mashup Creation (ICWS2013-1015)

Wenxing Xu, Jian Cao, Liang Hu, Jie Wang, Minglu Li (Shanghai Jiaotong University, China)

Page 24: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

24

Research Track Session 6 – Service Privacy (06/29 Saturday, 13:15-14:15; GBE)

Session Chair: Brian Blake, University of Miami, USA

Reflecting User Privacy Preferences in Context-aware Web Services (ICWS2013-1016) Georgia M. Kapitsaki(University of Cyprus, Cyprus) Privacy-Aware Web Service Composition and Ranking (ICWS2013-1017)

Elisa Costante, Federica Paci, Nicola Zannone (University of Trento; Eindhoven University of Technology) Respecting Privacy in Web Service Composition (ICWS2013-1018)

Salah-Eddine Tbahriti, Chirine Ghedira, Brahim Medjahed, Djamal Benslimane, Michael Mrissa (University of Lyon, France)

Research Track Session 7 – Testing and Verification (06/30 Sunday, 8:30-9:30; Seattle)

Session Chair: Antonio Mana Gomez, University of Malaga, Spain

Prioritizing Structurally Complex Test Pairs for Validating WS-BPEL Evolutions (ICWS2013-1019) Lijun Mei, Bo Jiang, Yan Cai, Changjiang Jia, W.K. Chan (IBM China Research Laboratory; Beihang University;

City University of Hong Kong, China) An Intrusion Tolerant Identity Management Infrastructure for Cloud Computing Services (ICWS2013-1020)

Luciano Barreto, Frank Siqueira, Joni Fraga (Universidade Federal de Santa Catarina) Formal Abstraction and compatibility checking of Web services (ICWS2013-1021)

Kais Klai, Hanen Ochi, Samir Tata (Université Paris 13, France)

Research Track Session 8 – Modeling and Architecture (06/30 Sunday, 13:30-14:30; Seattle)

Session Chair: Jun Han, Swinburne University of Technology, Australia

Incorporating User Behavior Patterns to Discover Workflow Models From Event Logs (ICWS2013-1022) Xumin Liu, Hua Liu, Chen Ding (Rochester Institute of Technology; Ryerson University; Xerox Research Center,

USA) A Low-Delay, Lightweight Publish/Subscribe Architecture for Delay-Sensitive IOT Services (ICWS2013-1023)

Yunlei Sun, Xiuquan Qiao, Junliang Chen (University of Posts and Telecommunications, China) Efficient Service Substitutions with Behavior-based Similarity Metrics (ICWS2013-1024)

Joshua Church, Amihai Motro (George Mason University, USA)

Applications and Experience Tracks Applications and Experience Track 1 – Service Composition I (06/28 Friday, 8:30-9:30; Portland)

Session Chair: Michael Melliar-Smith, University of California - Santa Barbara, USA

A QoS-based Trust Approach for Service Selection and Composition via Bayesian Networks (ICWS2013-1025) Mohamad Mehdi, Nizar Bouguila, Jamal Bentahar (Concordia University, Canada)

Finding Preferred Skyline Solutions for SLA-constrained Service Composition (ICWS2013-1026) Xin Zhao, LiWei Shen, Xin Peng, Wenyun Zhao (Fudan University, China) Web Service Composition Integrating QoS Optimization and Redundancy Removal (ICWS2013-1027)

Yong-Min Xia, Yu-Bin Yang (Nanjing University, China)

Applications and Experience Track 2 – Service Composition II (06/28 Friday, 13:00-14:00; Portland)

Session Chair: Knarig Arabshian, Bell Labs, USA

QoS Composition and Analysis in Reconfigurable Web Services Choreographies (ICWS2013-1028) Ajay Kattepur, Nikolaos Georgantas (Paris-Rocquencourt, France) Data-Flow Requirements for Dynamic Service Composition (ICWS2013-1029) Raman Kazhamiakin, Annapaola Marconi, Marco Pistore, Heorhi Raik (Fondazione Bruno Kessler) Event-B based Design and Run time verification of Dynamic Composite Service Transactional Behavior (ICWS2013-1030) Imed Abbassi, Mohamed Graiet (Tunisia) Applications and Experience Track 3 – Service Composition III (06/28 Friday, 14:10-15:10; Portland)

Session Chair: Zibin Zheng, The Chinese University of Hong Kong

Facing Uncertainty in Web Service Compositions (ICWS2013-1031)

Page 25: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

25

Germán H. Alférez, Vicente Pelechano(Universidad de Montemorelos,Mexico; Universitat Politècnica de València,Spain) Service Composition in Multi-Domain Environment under Time Constraint (ICWS2013-1032) Tao Zhang, Jianfeng Ma, Cong Sun, Qi Li, Ning Xi(Xidian University, China) Applications and Experience Track 4 – Web Services and Search (06/29 Saturday, 8:30-9:30; Portland)

Session Chair: Xiaofei Xu, Harbin Institute of Technology, China

CSCE: A Crawler Engine for Cloud Services Discovery on the World Wide Web (ICWS2013-1036) Talal H. Noor, Quan Z. Sheng, Abdullah Alfazi, Jeriel Law (The University of Adelaide, Australia) Efficient Search for Web Browsing Recipes (ICWS2013-1037) Martin Junghans, Sudhir Agarwal (Arlsruhe Institute of Technology; Institute AIFB/KSRI, Germany) Applications and Experience Track 5 – Service Descriptions and Modeling (06/29 Saturday, 12:00-13:00;

Portland)

Session Chair: Shiping Chen, CSIRO, Australia

Stateful Web Services - Auto Modeling and Composition (ICWS2013-1033) Syed Adeel Ali, Partha S. Roop, Ian Warren (The University of Auckland, New Zealand) Toward Ontology and Service Paradigm for Enhanced Carbon Footprint Management and Labeling (ICWS2013-1034) Wei Zhu, Guang Zhou, I-Ling Yen, San-Yih Hwang (University of Texas at Dallas, USA) How Does Web Service API Evolution Affect Clients? (ICWS2013-1035) Jun Li, Yingfei Xiong, Xuanzhe Liu, Lu Zhang (Peking University, China) Applications and Experience Track 6 – Workflow and Process Management (06/29 Saturday, 13:15-14:15;

Portland)

Session Chair: Yu-bin Yang, Nanjing University, China

Adaptive Process Execution in a Service Cloud: Service Selection and Scheduling Based on Machine Learning (ICWS2013-1038) Dhanwant S. Kang, Hua Liu, Munindar P. Singh, Tong Sun (North Carolina State University; Xerox Research Center at Webster, USA) A Change Impact Analysis Approach for Workflow Repository Management (ICWS2013-1039) Gustavo A. Oliva, Marco A. Gerosa, Dejan Milojicic, Virginia Smith (HP Lab, USA;HP Software; University of São Paulo) A Maximal Common Subgraph Based Method for Process Retrieval (ICWS2013-1040) Bin Cao, Jianwei Yin (Zhejiang University, China) Applications and Experience Track 7 – Service Specification (06/30 Sunday, 8:30-9:30; Portland)

Session Chair: Dongmei Liu, Nanjing University of Science and Technology

Formal Methods for Data-Centric Web Services: from Model to Implementation (ICWS2013-1041) Iman Saleh, Gregory Kulczycki, M. Brian Blake, Yi Wei (Battelle Memorial Institute; University of Miami, USA) Web Service Clustering with Hybrid of Ontology Learning and Information Retrieval based Term Similarity (ICWS2013-1042) Banage T.G.S. Kumara, Incheon Paik, Wuhui Chen (University of Aizu, Japan) Scenario-based Specification and Validation of Requirements for Context-aware Adaptive Services (ICWS2013-1043) Mahmoud Hussein, Jun Han, Jian Yu, Alan Colman (Swinburne University, Australia)

Applications and Experience Track 8 – Service-Oriented Software Engineering (06/30 Sunday, 13:30-14:30;

Portland)

Session Chair: Hong Zhu, Oxford University, UK

Prioritised Stakeholder Analysis for Software Service Lifecycle Management (ICWS2013-1044) Wenge Rong, Qinfen Wu, Yuanxin Ouyang, Kecheng Liu, Zhang Xiong (University of Reading, UK; Beihang University, China) Interleaving Execution into Model Driven Service Design (ICWS2013-1045) Renuka Sindhgatta Establishing Tool Chains above the Service Cloud with Integration Models (ICWS2013-1046)

Page 26: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

26

Weiqing Zhang, Birger Møller-Pedersen (University of Oslo, Norway) Applications and Experience Track 9 – Service Selection, Recommendation and Mashup (06/30 Sunday,

14:45-15:45; Portland)

Session Chair: Lei Yu, Beijing University of Posts and Telecommunications

Recommending Web Service Based on User Relationships and References (ICWS2013-1047) Min Gong, Zhaogui Xu, Lei Xu, Yanhui Li, Lin Chen (Nanjing University, China) Policy based Selection of Web Services in Peer to Peer Networks (ICWS2013-1048) Sushama Karumanchi, Anna Squicciarini, Barbara Carminati (Penn State University, USA; University of Insubria) An Improved Artificial Bee Colony Approach to QoS-Aware Service Selection (ICWS2013-1049) Xianzhi Wang, Zhongjie Wang, Xiaofei Xu (Harbin Institute of Technology, China)

Applications and Experience Track 10 – Service Semantics (07/01 Monday, 8:30-9:30; Seattle)

Session Chair: Jiuxin Cao, Southeast University, China

Maintaining a Dynamic View of Semantic Web Services Representing Factory Automation Systems (ICWS2013-1050) Juha Puttonen, Andrei Lobov, Jose L. Martinez Lastra (Tampere University of Technology, Finland) User Interface Design in Semi-Automated Ontology Construction (ICWS2013-1051) Peter J. Danielsen, Knarig Arabshian (Bell Labs, Alcatel-Lucent, USA) HyperMash: A Heterogeneous Service Composition Approach for Better Support of the End Users (ICWS2013-1052) Feifei Hang, Liping Zhao (The University of Manchester, UK) Applications and Experience Track 11 – Service Adaptation (07/01 Monday, 16:00-17:00; Santa Barbara)

Session Chair: Joao Eduardo Ferreira, University of Sao Paulo

Adapting Web Services to Maintain QoS Even When Faults Occur (ICWS2013-1053) Marie-Odile Cordier, Roberto Micalizio, Sophie Robin, Laurence Roze (University di Torino; Irisa; IRISA/INSA de Rennes) Reliability-Aware Energy Efficiency in Web Service Provision and Placement (ICWS2013-1054) Ying Chen, Peng Zhang, Xiangzhen Kong, Chuang Lin (Tsinghua University, China) Applications and Experience Track 12 – Service Composition IV (07/01 Monday, 14:45-15:45; GBD)

Session Chair: Xiaoqing (Frank) Liu, Missouri University of Science and Technology, USA

Intention-based Automated Composition Approach for Coordination Protocol (ICWS2013-1055) Ryuichi Takahashi, Fuyuki Ishikawa, Kenji Tei, Yoshiaki Fukazawa (Waseda University; National Institute of Informatics, Japan) Execution Recovery in Transactional Composite Service (ICWS2013-1056) Cao Jiuxin, Zhou Tao, Zhu Gongrui, Liu Bo (Southeast University, China) Applications and Experience Track 13 – Service Security and Trust (07/01 Monday, 16:00-17:00; GBE)

Session Chair: Meiko Jensen, ULD SH, Germany

Security Certification of Composite Services: A Test-Based Approach (ICWS2013-1057) Marco Anisetti, Claudio A. Ardagna, Ernesto Damiani (Università degli Studi di Milano; University of Milan, Italy) Modeling the Dynamic Trust of Online Service Providers using HMM (ICWS2013-1058) Xiaoming Zheng, Yan Wang, Mehmet A Orgun (Macquarie University, Australia) An Efficient Trust Propagation Scheme for Predicting Trustworthiness of Service Providers in Service-Oriented Social Networks (ICWS2013-1059) Yu Xu, Jianxun Liu, Mingdong Tang, Xiaoqing (Frank) Liu (Hunan University of Science and Technology, China; Missouri University, USA)

Industry Track

Industry Track 1 – Service Management and Optimization (06/28 Friday, 8:30-9:30; Santa Barbara)

Session Chair: Apostolos Papageorgiou, NEC

A Self-Optimizing Workload Management Solution for Cloud Applications (ICWS2013-1060)

Page 27: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

27

Haishan Wu, Asser N. Tantawi, Tao Yu (IBM China Research Laboratory) A New Approach towards DoS Penetration Testing on Web Services (ICWS2013-1061) Andreas Falkenberg, Christian Mainka, Juraj Somorovsky, Jörg Schwenk (Ruhr University Bochum DE, Germany) Optimal Time-Cost Tradeoff of Parallel Service Workflow in Federated Heterogeneous Clouds (ICWS2013-1062) Gueyoung Jung, Hyunjoo Kim (Xerox Research Center Webster, USA) Industry Track 2 – Service Discovery / Selection (06/28 Friday, 13:00-14:00; Santa Barbara)

Session Chair: Incheon Paik, University of Aizu, Japan

Validation and Interactivity of Web API Documentation (ICWS2013-1063) Peter J. Danielsen, Alan Jeffrey (Bell Labs, USA) Service Recommendation in an Evolving Ecosystem: A Link Prediction Approach (ICWS2013-1064) Keman Huang, Yushun Fan, Wei Tan, Xiang Li (Tsinghua National, China; IBM T.J. Watson Research Center, USA) Location: a feature for service selection in the era of big data (ICWS2013-1065) Zhiling Luo, Li Ying, Jianwei Yin (Zhejiang University, China) Industry Track 3 – Service Security and Information Assurance (06/28 Friday, 13:00-14:00; GBE)

Session Chair: Sasko Ristov, Ss. Cyril and Methodius, Macedonia

Secure Combination of XML Signature Application with Message Aggregation in Multicast Settings (ICWS2013-1066) Andreas Becker, Meiko Jensen (Application Services; Independent Centre, Germany) Security Assurance of Services through Digital Security Certificates (ICWS2013-1067) Samuel Paul Kaluvuri, Hristo Koshutanski, Francesco Di Cerbo, Antonio Mana (SAP Next Business and Technology; University of Malaga, Spain) SeDL-C: A Language for Modeling Business Terms in Service Descriptions (ICWS2013-1068) Christina Tziviskou, Matteo Palmonari, Marco Comerio, Flavio De Paoli (Universita di Milano-Bicocca, Italy) Industry Track 4 – Service Oriented Software Engineering (06/29 Saturday, 8:30-9:30; Santa Barbara)

Session Chair: Onyeka Ezenwoye, Georgia Regents University, USA

Non-Functional Requirement Analysis and Recommendation for Software Services (ICWS2013-1069) Xiao-Lin Zhang, Chi-Hung Chi, Chen Ding, Raymond K. Wong (Tsinghua University; CSIRO, Australia; Ryerson University, Canada; University of New South Wales, Australia) Decentralized Information Flow Verification Framework for the Composition of Service Chain in Mobile Computing Environments (ICWS2013-1070) Xi Ning, Jianfeng Ma, Sun Cong, Zhang Tao (XIDIAN University, China) Industry Track 5 – Service Representations and Descriptions (06/29 Saturday, 12:00-13:00; Santa Barbara)

Session Chair: Cesar Gonzales, USA

Domain Objects for Continuous Context-Aware Adaptation of Service-based Systems (ICWS2013-1071) Antonio Bucchiarone, Annapaola Marconi, Marco Pistore, Paolo Traverso, Piergiorgio Bertoli, Raman Kazhamiakin (Fondazione Bruno Kessler; SAYservice, Italy) From Algebraic Specification to Ontological Description of Service Semantics (ICWS2013-1072) Dongmei Liu, Hong Zhu, Ian Bayley (Nanjing University, China; Oxford Brookes University, UK) Industry Track 6 – Service Management (06/29 Saturday, 13:15-14:15; Santa Barbara)

Session Chair: Shiyong Lu, Wayne State University, USA

Interleaving Execution into Model Driven Service Design (ICWS2013-1073) Renuka Sindhgatta(IBM Research, India) Evaluating Quality of Web Services: a Short Survey (ICWS2013-1074)

Olga Kondratyeva, Natalia Kushik, Ana Cavalli, Nina Yevtushenko (TELECOM SudParis Evry, France; Tomsk State University Tomsk, Russia) Untether: Middleware Components to Support Intermittently Connected Web-Applications (ICWS2013-1075) Avraham Leff, James T. Rayfield, Ravi Konuru, Raj Balasubramanian (IBM T.J. Watson Research Center, USA)

Page 28: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

28

Work-in-Progress Tracks Work-in-Progress Track 1 – Services Discovery and Composition (06/27, Thursday, 10:30-12:00; Santa Barbara)

Session Chair: Yucong Duan, Hainan University, China

Genetic Algorithm for Context-Aware Service Composition based on Context Space Model (ICWS2013-1076) Zhichao Zhang, Shaoqiu Zheng, Weiping Li, Ying Tan, Zhonghai Wu, Wei Tan (Peking University, China; IBM T.J. Watson Research Center, USA) Towards Multi-user and Network-aware Web Services Composition (ICWS2013-1077) Lei Yu, Wang Zhili, Qiu Xue-song, Luoming Meng (Beijing University, China) Towards A Capability Model for Web Service Composition (ICWS2013-1078) Wenbin LI, Youakim BADR, Frédérique BIENNIER (Université de Lyon, France) Towards a Flexible Schema Matching Approach for Semantic Web Service Discovery (ICWS2013-1079) Sana Sellami, Boucelma (Aix-Marseille Universit, France) Service Matching under Consideration of Explicitly Specified Service Variants (ICWS2013-1080) Marie Christin Platenius, Markus von Detten, Wilhelm Schäfer, Christian Gerth, Gregor Engels (University of Paderborn, Germany) Work-in-Progress Track 2 – Services Engineering (06/27, Thursday, 13:00-14:15; Santa Barbara)

Session Chair: Mingdong Tang, Hunan University of Science and Technology, China

An Architecture for Decentralized Orchestration of Web Service Workflows (ICWS2013-1081) Ward Jaradat, Alan Dearle, and Adam Barker (University of St Andrews, UK) Service Value Broker Patterns: Integrating Business Modeling and Economic Analysis with Knowledge Management (ICWS2013-1082) Yucong Duan, Ajay Kattepur, Wencai Du (Hainan University, China; INRIA Paris-Rocquencourt, France) LISA: Linked Service Architecture based on the Linked Data and Meta-Level Service Broker (ICWS2013-1083) Mikio Aoyama, Hirotaka Kojima (Nanzan University, Japan) Coarse Grained Web Service Availability, Consistency, & Durability (ICWS2013-1084) Aspen Olmsted, Aspen Olmsted (College of Charleston; University of South Carolina, Columbia) RESTful Web Services for Intrusion Detection Systems (ICWS2013-1085) Mohsen Rouached, Hassen Sallay (Taif University; IMAM University, Saudi Arabia)

Page 29: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

29

2013 IEEE Tenth International Conference on Services Computing (SCC2013)

Research Track Research Session 1 – Services Computing and Business Processes (06/28 Friday, 8:30-9:30; GBD)

Session Chair: Calton Pu, Georgia Tech, USA

lightEPC: A Formal Approach for Modeling Personalized Lightweight Event-Driven Business Process (SCC2013-2001) Sida Xue, Budan Wu, Junliang Chen (University of Posts and Telecommunications, China) Quantifying Consistency between Conceptual and Executable Business Processes (SCC2013-2002) Wei Song, Wenjia Zhang, Gongxuan Zhang, Junhua Ding, Xuewei Zhang (Nanjing University, China) A Contribution to Organizational and Operational Strategic Alignment: Incorporating Business Level Agreements into Business Process Modeling (SCC2013-2003) Guilherme Salles, Marcelo Fantinato, João Porto de Albuquerque, Marislei Nishijima (University of São Paulo, Brazil) Research Session 2 – Service Requirements, Early Assessment and Value Prediction (06/28 Friday, 13:00-

14:00; GBD)

Session Chair: Michael Goul, Arizona State University, USA

QRA: A Quality Requirements Analysis Approach for Service Systems (SCC2013-2004) Jie Sun, Liping Zhao, Pericles Loucopoulos, Bo Zhou (Zhejiang University, China; The University of Manchester, UK; Harokopio University of Athens) Early Assessment of Service Performance Based on Simulation (SCC2013-2005) Claudio A, Ardagna, Ernesto Damiani, Kouessi A. Romaric Sagbo (Università degli Studi di Milano; University of Milan, Italy) Reputation-Aware QoS Value Prediction of Web Services (SCC2013-2006) Weiwei Qiu, Zibin Zheng, Xinyu Wang, Xiaohu Yang, Michael R. Lyu (Zhejiang University, China; The Chinese University of Hong Kong) Research Session 3 – Service Discovery (06/28 Friday, 14:10-15:10; GBD)

Session Chair: Karin Becker, UFRGS, Brazil

A Probabilistic Approach for Web Service Discovery (SCC2013-2007) Chune Li, Richong Zhang, Jinpeng Huai, Hailong Sun (Beihang University, China) A Technique of Leveraging Human Factor to Facilitate Scientific Service Discovery and Recommendation (SCC2013-2008) Jia Zhang, Petr Votava, Tsengdar J. Lee, Shrikant Adhikarla, Isaraporn Kulkumjon (Cherry), Matthew Schlau, Divya Natesan, Ramakrishna Nemani (Carnegie Mellon University – Silicon Valley, USA; NASA Ames Research Center; NASA Headquarters, USA) Towards Services Discovery based on Service Goal Extraction and Recommendation (SCC2013-2009) Jian Wang (Wuhan University)

Research Session 4 – Service Selection and Clustering (06/29 Saturday, 8:30-9:30; GBD)

Session Chair: I-Ling Yen, University of Texas at Dallas, USA

A Robust Service Recommendation Scheme (SCC2013-2010) Xinfeng Ye, Jupeng Zheng, Bakh Khoussainov (Auckland University, New Zealand) A Combinatorial Auction Model for Composite Service Selection Based on Preferences and Constraints (SCC2013-2011) Mahboobeh Moghaddam, Joseph G. Davis, Taso Viglas (University of Sydney, Australia) Clustering and Spherical Visualization of Web Services (SCC2013-2012) Banage Thenna Gedara Samantha Kumara, Incheon Paik, Yuichi Yaguchi, Wuhui Chen (University of Aizu, Japan) Research Session 5 – Service Composition (06/29 Saturday, 12:00-13:00; GBD)

Session Chair: Haiyan Wang, Nanjing University of Posts and Telecommunications, Southeast

University, China

Learning Recommendation System for Automated Service Composition (SCC2013-2013)

Page 30: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

30

Alexander Jungman, Bernd Kleinjohann (University of Paderborn) An Efficient Algorithm for Strategy-proof Service Composition (SCC2013-2014) Masahiro Tanaka, Yohei Murakami (National Institute of Information and Communications Technology, Japan) Correlated Contribution Analysis for Service Composition in Dynamic Environments (SCC2013-2015) Jing Jiang, Quan Bai (Auckland University of Technology, New Zealand) Research Session 6 – Cloud Resource Provisioning, Allocation and Analysis (06/29 Saturday, 13:15-14:15; GBD)

Session Chair: Patrick C.K. Hung, University of Ontario Institute of Technology, Canada

KSwSVR: A New Load Forecasting Method for Efficient Resources Provisioning in Cloud (SCC2013-2016) Rongdong Hu, Jingfei Jiang, Guangming Liu, Lixin Wang (National University, China) A Novel Approach to Allocate Cloud Resource with Different Performance Traits (SCC2013-2017) Zuling Kang (Southeast University, China) Revisiting Performance Interference among Consolidated n-Tier Applications: Sharing is Better than Isolation (SCC2013-2018) Yasuhiko Kanemasa, Qingyang Wang, Jack Li, Masazumi Matsubara, Calton Pu (Fujitsu Laboratories Ltd., Japan; Georgia Tech, USA) Research Session 7 – Service Recommendation, Selection and Engagement (06/30 Sunday, 8:30-9:30; GBD)

Session Chair: Jia Zhang, Carnegie Mellon University – Silicon Valley, USA

Context-Aware Service Recommendation on High Performance Cluster (SCC2013-2019) Yu Zhiwei, Victor Chu, Raymond Wong (University of New South Wales, Australia) Cloud Service Selection Based on the Aggregation of User Feedback and Quantitative Performance Assessment (SCC2013-2020) Lie Qu, Yan Wang, Mehmet A Orgun (Macquarie University, Australia) Monitoring Commitments in People-Driven Service Engagements (SCC2013-2021) Anup Kalia, Hamid R. Motahari Nezhad, Claudio Bartolini, Munindar Singh (HP Labs, USA; North Carolina State University, USA) Research Session 8 – Service Realignment, Re-Composition and Reconfiguration (06/30 Sunday, 13:30-14:30;

GBD)

Session Chair: Liang-Jie Zhang, Kingdee International Software Group CO., Ltd, China

Alignment and Change Propagation between Business Processes and Service-Oriented Architectures (SCC2013-2022) Karim Dahman, François Charoy, Claude Godart (Université de Lorraine, France) Efficient Service Re-composition Using Semantic Augmentation for Fast Cloud Fault Recovery (SCC2013-2023) Zhengping Wu, Nailu Chu (University of Bridgeport) Reliable Service Reconfiguration for Time-Critical Service Compositions (SCC2013-2024) Rene Ramacher, Lars Moench (University of Hagen, Germany)

Research Session 9 – Service Reliability and Security (06/30 Sunday, 14:45-15:45; GBE)

Session Chair: Zhixiong Chen, Mercy College, USA

Robust Client/Server Shared State Interactions of Collaborative Process with System Crash and Network Failures (SCC2013-2025) Lei Wang, Andreas Wombacher, Luis Ferreira Pires, Marten van Sinderen, Chi-Hung Chi (University of Twente, Netherlands) Reliable Service Composition via Automatic QoS Prediction (SCC2013-2026) Hongbing Wang, Haixia Sun (Southeast University, China) Secure Cloud Storage Service with an Efficient DOKS Protocol (SCC2013-2027) ZhengTao Jiang, Ling Liu (Communication University of China, China; Georgia Tech, USA)

Research Session 10 – Design and Analysis of Service-based Applications (07/01 Monday, 8:30-9:30; GBD)

Session Chair: Hongbing Wang, Southeast University, China

Quantitative Analysis of Cloud-based Streaming Services (SCC2013-2028) Fang Yu, Yat-Wah Wan, Rua-Huan Tsaih (National Chengchi University; National Dong Hwa University, Taiwan) Design and Implementation of a Unified Network Information Service (SCC2013-2029)

Page 31: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

31

Ahmed El-Hassany, Ezra Kissel, Daniel Gunter, Martin Swany (Indiana University – Bloomington, USA) Multi-Tenancy Support with Organization Management in the Cloud of Things (SCC2013-2030) Seong Hoon Kim, Daeyoung Kim (Korea)

Research Session 11 – Service Evolution and Replication (07/01 Monday, 13:30-14:30; GBD)

Session Chair: Miguel Vargas Martin, University of Ontario Institute of Technology, Canada

Supporting Strategic Decision Making on Service Evolution Context Using Business Intelligence (SCC2013-2031) Ernando Silva, Karin Becker, Renala Galante (Universidade Federal do Rio Grande do Sul) Enabling Runtime Evolution of Context-aware Adaptive Services (SCC2013-2032) Mahmoud Hussein, Jun Han, Jian Yu, Alan Colman (IBM T.J. Watson Research Center, USA) Data Decomposition based Partial Replication Model for Software Services (SCC2013-2033) Shuo Chen, Chi-Hung Chi, Chen Ding, Raymond Wong (Tsinghua University, China; CSIRO; Ryerson University; University of New South Wales, Australia) Research Session 12 – Privacy, Trust and Vulnerability in Services Computing (07/01 Monday, 14:45-15:45;

GBE)

Session Chair: Steve Yau, Arizona State University, USA

Private and Anonymous Data Storage and Distribution in Cloud (SCC2013-2034) Qi Duan, Yongge Wang, Fadi Mohsen, Ehab Al-Shaer (The University of North Carolina, USA) ServiceTrust: Trust Management in Service Provision Networks (SCC2013-2035) Zhiyuan Su, Liu Ling, Mingchu Li, Xinxin Fan (Georgia Tech, USA; Dalian University of Technology, China) SOA-Scanner: An Integrated Tool to Detect Vulnerabilities in Service-Based Infrastructures (SCC2013-2036) Nuno Antunes, Marco Vieira (University of Coimbra)

Research Session 13 – Ontology in Services Computing (07/01 Monday, 16:00-17:00; GBD)

Session Chair: Liping Zhao, University of Manchester, UK

An Ontology-Based Framework for Model-Driven Analysis of Situations in Data Centers (SCC2013-2037) Yu Deng, Soumitra Sarkar, HariGovind Ramasamy, Rafah Hosn, Ruchi Mahindru (IBM T.J. Watson Research Center, USA) Ontology-Based Configuration for Service-Based Business Process Model (SCC2013-2038) Ying Huang, Zaiwen Feng, Keqing He, Yiwang Huang (Wuhan University, China) Augmenting Semantics of Web Services based on Public Open Ontology (SCC2013-2039) Xiaocao Hu, Zhiyong Feng, Shizhan Chen (Tianjin University, China)

Applications and Industry Tracks Applications and Industry Session 1 – Security and Risk Assessment (06/28 Friday, 8:30-9:30; GBE)

Session Chair: Yu Deng, IBM T.J. Watson Research Center, USA

Security-Aware Resource Allocation in Clouds (SCC2013-2040) Saeed Al-Haj, Ehab Al-Shaer, HariGovind Ramasamy, Krishna Kant (University of North Carolina, USA; IBM T.J. Watson Research Center, USA) VMRaS: A Novel Virtual Machine Risk Assessment Scheme in the Cloud Environment (SCC2013-2041) SiFan Liu, Jie Wu, Zhihui Lu, Hui Xiong (Fudan University, China) Risk Assessment and Trust in Services Computing: Applications and Experience (SCC2013-2042) Paul Townend, Valentina Viduto, David Webster, Karim Djemame, Lydia Lau, Vania Dimitrova, Jie Xu, Sarah Fores (University of Leeds) Applications and Industry Session 2 – Workloads (06/28 Friday, 8:30-9:30; Newport Beach)

Session Chair: Nianjun (Joe) Zhou, IBM T.J. Watson Research Center, USA

Variations in Performance Measurements of Multi-Core Processors: A Study of n-Tier Applications (SCC2013-2043) Junhee Park, Qingyang Wang, Deepal Jayasinghe, Jack Li, Yasuhiko Kanemasa, Masazumi Matsubara, Calton Pu (Georgia Tech, USA) PSRPS: A Workload Pattern Sensitive Resource Provisioning Scheme for Cloud Systems (SCC2013-2044)

Page 32: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

32

Feifei Zhang, Jie Wu, Zhihui Lu (Fudan University, China) Measuring and Applying Service Request Effort Data in Application Management Services (SCC2013-2045) Ying Li, Kaan Katircioglu (IBM T.J. Watson Research Center, USA) Applications and Industry Session 3 – Search and Discovery (06/28 Friday, 14:10-15:10; Santa Barbara)

Session Chair: Omar Boucelma, Domaine Universitaire de Saint-Jérôme, France

Service Discovery based on Objective and Subjective Measures (SCC2013-2046) Victor Chu, Raymond Wong, Wuhui Chen, Incheon Paik. Chi-Hung Chi (University of New South Wales, Australia; University of Aizu, Japan) Influence Analysis Based Expert Finding Model and Its Applications in Enterprise Social Network (SCC2013-2047) Dong Liu, Li Wang, Jianhua Zheng, Ke Nin, Liang-Jie Zhang (Kingdee Research, China) Trust-Aware Service Recommendation via Exploiting Social Networks (SCC2013-2048) Mingdong Tang, Yu Xu, Jianxun Liu, Zibin Zheng, Frank Liu (Hunan University, China; The Chinese University of Hong Kong; Missouri University, USA) Application and Industry Session 4 – Services Composition (06/28 Friday, 13:00-14:00; Newport Beach)

Session Chair: Mikio Aoyama, Nanzan University, Japan

Scalable Service Composition Execution through Asynchronous I/O (SCC2013-2049) Michele Stecca, Martino Fornasa, Pierpaolo Baglietto, Massimo Maresca (Computer Platform Research Center, Italy) Web Services Composition through Data Events Approach (SCC2013-2050) Mauricio Chui Rodrigues, João Eduardo Ferreira, Calton Pu (University of São Paulo; Georgia Tech, USA) Describing Dynamism in Service Dependencies - Industrial Experience and Feedbacks (SCC2013-2051)

Clement Escoffier, Pierre Bourret, Philippe Lalanda (Laboratoire d informatique de Grenoble, France)

Applications and Industry Session 5 – Formal Modeling (06/28 Friday, 14:10-15:10; GBA)

Session Chair: Andreas Wombacher, University of Twente, The Netherlands

Spectral Graph Approach for Process Model Matchmaking (SCC2013-2052) Yacine Belhoul, Mohammed Haddad, Ahmed Gater, Daniela Grigori, Hamamache Kheddouci, Mokrane Bouzeghoub (Universite de Lyon, France; University of Versailles) Coercion Approach to the Shimming Problem in Scientific Workflows (SCC2013-2053) Andrey Kashlev, Shiyong Lu, Artem Chebotko (Wayne State University; University of Texas - Pan American, USA) Formal Modeling of Elastic Service-based Business Processes (SCC2013-2054) Kais Klai, Samir Tata (Telecom SudParis, France) Applications and Industry Session 6 – Service Recommendation (06/28 Friday, 14:10-15:10; Newport Beach)

Session Chair: Dong Liu, Accenture Technology Lab, China

A Web Service Recommendation Approach based on Situation Awareness (SCC2013-2055) Chenguang Liu, Huiping Lin, Yibing Xiong (Peking University, China) Interest-Driven Web Service Recommendation based on MFI-7 (SCC2013-2056) Xiuwei Zhang, Keqing He, Zhao Li, Jianxiao Liu (Wuhan University, China) Applications and Industry Session 7 – Mobile Platforms and IoT (06/29 Saturday, 8:30-9:30; GBB)

Session Chair: Casey Fung, Boeing Research and Technology, USA

Sensor Data as a Service - A Federated Platform for Mobile Data-Centric Service Development and Sharing (SCC2013-2057) Jia Zhang, Bob Iannucci, Mark Hennessy, Kaushik Gopal, Sean Xiao, Sumeet Kumar, David Pfeffer, Basmah Aljedia, Yuan Ren, Martin Griss, Steven Rosenberg, Anthony Rowe (Carnegie Mellon University, USA) Promoting Collaborative Mobile Payment by Using NFC-Micro SD Technology (SCC2013-2058) Szu-Hui Wu, Chyan Yang (Institute of Information Management) IoT Mashup as a Service: Cloud-based Mashup Service for the Internet of Things (SCC2013-2059) Janggwan Im, Seong Hoon Kim, Daeyoung Kim (KAIST Daejeon, South Korea) Applications and Industry Session 8 – Industry Verticals (06/29 Saturday, 8:30-9:30; Newport Beach)

Session Chair: Shih-Chia Huang, National Taipei University of Technology

Page 33: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

33

Operational Excellence in IT Services using Enterprise Crowdsourcing (SCC2013-2060) Maja Vukovic, Arjun Natarajan (IBM T.J. Watson Research Center, USA) From Healthcare Messaging Standard to Semantic Web Service Description: Generating WSMO Annotation from HL7 with Mapping-based Approach (SCC2013-2061) Hongchao Nie, Shasha Li, Xudong Lu, Huilong Duan (Zhejiang University, China) CloudStreamMedia: A Cloud Assistant Global Video on Demand Leasing Scheme (SCC2013-2062) Da Deng, Zhihui Lu, Wei Fang, Jie Wu (Fudan University, China) Applications and Industry Session 9 – Enterprise IT (06/29 Saturday, 13:15-14:15; GBA)

Session Chair: Umesh Bellur, Indian Institute of Technology Bombay, India

Unleashing Unstructured Data's Value for Enterprise IT Asset Management (SCC2013-2063) Lorraine Herger, Matthew McCarthy, Shakil Khan, Brian Belgodere (IBM Research, USA) Optimizing the Carpool Service Problem with Genetic Algorithm in Service-based Computing (SCC2013-2064) Ming-Kai Jiau, Shih-Chia Huang, Chih-Hsian Lin (National Taipei University, Taiwan) An Infrastructure Framework for Deploying Enterprise Private Cloud (SCC2013-2065) Yaxiao Liu, Weidong Liu, Lining Liu, Feng Wang (Tsinghua University, China; IBM, USA) Applications and Industry Session 10 – Business Process (06/29 Saturday, 12:00-13:00; Newport Beach)

Session Chair: Wei Song, Nanjing University of Science and Technology, China

Business Process Scheduling in Cloud Environments with Fairness Metrics (SCC2013-2066) Kahina Bessai, Samir Youcef, Ammar Oulamara, Claude Godart, Selmin Nurcan (University of Loraine; LORIA-INRIA; CRI Paris 1 Sorbonne France) Integrating Restful Web Services into BPEL Business Process on Service Generation System (SCC2013-2067) Budan Wu, Rongheng Lin, Junliang Chen (University of Posts and Telecommunications, China) Assisting Business Process Design with Configurable Process Fragments (SCC2013-2068) Nour Assy, Ngoc Chan Nguyen, Walid Gaaloul (Telecom SudParis, France) Applications and Industry Session 11 – Service Quality (06/29 Saturday, 13:15-14:15; Seattle)

Session Chair: Shiping Chen, CSIRO, Australia

Web Services QoS Measure based on Subjective and Objective Weight (SCC2013-2069) You Ma, Shangguang Wang, Qibo Sun, Zou Hua, Fangchun Yang (Beijing University, China) Selecting Web Service for Multi-user Based on Multi-QoS Prediction (SCC2013-2070) Zhongjun Liang, Zou Hua, Jing Guo, Fangchun Yang, Rongheng Lin (Beijing University, China) Prediction of Service Reliability based on Grouping (SCC2013-2071) Haiyan Wang (Southeast University, Nanjing, China)

Applications and Industry Session 12 – Composite Services (06/29 Saturday, 13:15-14:15; Newport Beach)

Session Chair: Claudio A. Ardagna, Università degli Studi di Milano

Sharing with a Difference: Realizing Service-based SaaS Applications with Runtime Sharing and Variation in Dynamic Software Product Lines (SCC2013-2072) Indika Kumara, Jun Han, Alan Colman, Tuan Nguyen, Malinda Kapuruge (Swinburne University, France) AESON: A Model-Driven and Fault Tolerant Composite Deployment Runtime for IaaS Clouds (SCC2013-2073) Deepal Jayasinghe, Fabio Oliveira, Florian Rosenberg, Calton Pu, Tamar Eilam (IBM Research; Georgia Tech, USA) The Importance of Information Quality for Implementing Service-Oriented Architecture Initiatives (SCC2013-2074) Muhammad Suhaizan Sulong, Andy Koronios, Jing Gao, Azlianor Abdul-Aziz (University of South Australia; Universiti Teknikal Malaysia Melaka)

Applications and Industry Session 13 – Infrastructure Services (06/30 Sunday, 13:30-14:30; GBC)

Session Chair: Wanchun Dou, Nanjing University, China

OPS: Offline Patching Scheme for the Images Management in a Secure Cloud Environment (SCC2013-2075) Kang Fan, Dehui Mao, Zhihui Lu, Jie Wu (Fudan University, China) Incremental Mining of System Log Format (SCC2013-2076) Masayoshi Mizutani (IBM Research Tokyo, Japan)

Page 34: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

34

Policy-based Agents for Virtual Machine Migration in Cloud Data Centers (SCC2013-2077) J. Octavio Gutierrez-Garcia, Adrian Ramirez-Nafarrate (Instituto Tecnologico Autonomo de Mexico)

Applications and Industry Session 14 – Utility Functions (06/30 Sunday, 8:30-9:30; Newport Beach)

Session Chair: Liqiang Wang, University of Wyoming, USA

Value-based Service Contract Selection (SCC2013-2078) Marco Comerio (Università di Milano Bicocca) Toward Optimization of Service Development Strategy (SCC2013-2079) Nianjun Zhou, Wesley M. Gifford, Krishna Ratakonda (IBM T.J. Watson Research Center, USA) Cloud Service Negotiation: A Research Roadmap (SCC2013-2080) Xianrong Zheng, Patrick Martin, Kathryn Brohman (Queen's University, Canada)

Applications and Industry Session 15 – Knowledge Management (06/30 Sunday, 13:30-14:30; Santa Barbara)

Session Chair: Zhixiong Chen, Mercy College, USA

Crowd-enabled Technical Writing Service (SCC2013-2081) Maja Vukovic, Valentina Salapura, Sriram Rajagopal (IBM T.J. Watson Research, USA; IBM India) Services for Context Aware Knowledge Enhancement and Its Application in the Chinese Enterprise Management Tank (CEMT) (SCC2013-2082) Ke Ning, Zhou Zhangbing, Jianhua Zheng, Dong Liu, Liang-Jie Zhang (Kingdee Research, China) Supporting Collaborative Decision Processes (SCC2013-2083) Roman Vaculin, Richard Hull, Maja Vukovic, Terry Heath, Athaniel Mills, Yutian Sun (IBM T.J. Watson Research Center; University of California, Santa Barbara, USA) Applications and Industry Session 16 – Risk and Trust Modeling (06/30 Sunday, 13:30-14:30; Newport Beach)

Session Chair: Bo Hu, Kingdee Research, China

A Game Theoretic Method to Model and Evaluate Attack-Defense Strategy in Cloud Computing (SCC2013-2084) Guisheng Fan, Huiqun Yu, Liqiong Chen, Dongmei Liu (East China University, China) A Novel Model for Contextual Transaction Trust Computation with Fixed Storage Space in E-commerce and E-service Environments (SCC2013-2085) Haibin Zhang, Yan Wang (Macquarie University, Australia) Risk-Aware Web Service Allocation in the Cloud Using Portfolio Theory (SCC2013-2086) Faisal Alrebeish, Rami Bahsoon (University of Birmingham, UK)

Applications and Industry Session 17 – Potpourri (06/30 Sunday, 14:45-15:45; GBD)

Session Chair: Xiaoqing (Frank) Liu, Missouri University of Science and Technology, USA

Modeling, Analysis and Optimization of Dependability-Aware Energy Efficiency in Services Computing Systems (SCC2013-2087) Jiwei Huang, Chuang Lin, Jianxiong Wan (Georgia Tech, USA; Tsinghua University, China) Towards Combining Declarative Specification with On-the-fly Mediation (SCC2013-2088) Malik Khalfallah, Nicolas Figay, Mahmoud Barhamgi, Parisa Ghodous (European Aeronautic Defense and Space Company; Lyon 1 University) Navdriver: Adaptive Websites via SaaS (SCC2013-2089) Miguel Vargas Martin (University of Ontario, Canada) Applications and Industry Session 18 – Model-Driven Architecture (06/30 Sunday, 14:45-15:45; Newport Beach)

Session Chair: Liangzhao Zeng, IBM T.J. Watson Research Center, USA

A CCRA based Mass Customization Development for Cloud Services (SCC2013-2090) Bo Hu (Kingdee, China) Controlling the Evolution of Product-based Collaboration Contracts (SCC2013-2091) Malik Khalfallah, Mahmoud Barhamgi, Nicolas Figay, Parisa Ghodous (European Aeronautic Defense and Space Company; Lyon 1 University) Psi-CAL: Foundations of a Programming Language for Services Computing (SCC2013-2092) Arun Kumar, Vineet Rajani, D Janakiram (IBM Research India)

Page 35: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

35

Applications and Industry Session 19 – Service Levels (06/30 Sunday, 14:45-15:45; Seattle)

Session Chair: Zhihui Lu, Fudan University, China

Systematic Analysis of Public Cloud Service Level Agreements and Related Business Values (SCC2013-2093) Meng Maggie Qiu, Ying Zhou, Chen Wang (University of Sydney; CSIRO ICT Center, Australia) Efficient Coalition Formation for Web Services (SCC2013-2094) Ehsan Khosrowshahi Asl, Jamal Bentahar, Hadi Otrok, Rabeb Mizouni (Concordia University, Canada; Khalifa University)

Work-in-Progress Tracks

WIP Session 1 – Services Computing Model (06/27 Thursday, 14:30-16:00; Seattle)

Session Chair: Onyeka Ezenwoye, Augusta State University, USA

SmartClass: A Services-Oriented Approach for University Resource Scheduling (SCC2013-2095) Aili Wang, Wang Chao, Xiaoning Nie, Xuehai Zhou (University of Science and Technology of China) The Methodology, Platform and Solution for Service-Oriented Enterprise (SCC2013-2096) Rong Wang, Shuangxi Huang (Kingdee International Software Group Co.; Tsinghua University, China) Towards a Service for Machine Consumable Web Search Results (SCC2013-2097) Onyeka Ezenwoye, Minakshi Pokharel (Georgia Regents University; South Dakota State University, USA) The Collaborative Configuration of Service-oriented Product Families based on Evolutionary Approach) (SCC2013-2098) Hongxia Zhang, Rongheng Lin, Zou Hua, Fangchun Yang (Beijing University, China) SOA Design Patterns – can they improve the process of Model Driven Development? (SCC2013-2099) Roman Selmeci, Viera Rozinajová WIP Session 2 – Context Awareness Model (06/30 Sunday, 8:30-9:30; California Ballroom Salon 1)

Session Chair: Richard Lomotey, University of Saskatchewan, Canada

Provenance-Based Access Control in the Cloud (SCC2013-2100) Julien Lacroix, Omar Boucelma (Aix-Marseille University) Context-Aware Business Process Management for Personalized Healthcare Services (SCC2013-2101) Junho Moon, Dongsoo Kim (Soongsil University, Korea) A Process Calculus for Context-aware Systems (SCC2013-2102) Wusheng Wang, Weiping Li, Zhonghai Wu (Peking University, China) Towards Provenance Aware Design of Service Compositions: A Methodology for Analyzing the Provenance Awareness in Service Designs (SCC2013-2103) Paraskevi Zerva, Steffen Zschaler, Simon Miles (King's College London, UK) WIP Session 3 – Knowledge Management Model (06/30 Sunday, 13:30-14:30; California Ballroom Salon 1) Session Chair: Tony Shan, Keane, Inc., USA

UCOS: Enhanced Online Skyline Computation by User Clustering (SCC2013-2104) Kehan Chen, Lichuan Ji, Kunyang Jia, Wu Jian (Zhejiang University, China) Extensible Service Knowledge (SCC2013-2105) Yoann Maurel, Thomas Leveque, Philippe Lalanda (Laboratoire Informatique de Grenoble, France) Awareness of Social Influence for Service Recommendation (SCC2013-2106) Wuhui Chen, Incheon Paik, Takazumi Tanaka, Banage T.G.S.Kumara (University of Aizu, Japan) Integrated Syntax and Semantic Validation for Services Computing (SCC2013-2107) Lixin Tao, Steven Golikov (Pace University)

Page 36: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

36

2013 IEEE Sixth International Conference on Cloud Computing (CLOUD 2013)

Research Track Research Track 1 – MapReduce (06/28 Friday, 8:30-9:30; GBA)

Session Chair: Vijay K. Naik, IBM T.J. Watson Research Center, USA

Using a Tunable Knob for Reducing Makespan of MapReduce Jobs in a Hadoop Cluster (CLOUD2013-3001) Yi Yao, Jiayin Wang, Bo Sheng, Ningfang Mi (University of Massachusetts; Northeastern University, USA) Improving Fairness for MapReduce Scheduling in an Opportunistic Environment (CLOUD2013-3002) Yuting Ji, Lang Tong, Ting He, Jian Tan, Kang-Won Lee, Li Zhang (Cornell University; IBM T.J. Watson Research Center, USA) MC2: Map Concurrency Characterization for MapReduce on the Cloud (CLOUD2013-3003) Mohammad Hammoud, Majd Sakr (Carnegie Mellon University in Qatar) Research Track 2 - Data Centers (06/28 Friday, 13:00-14:00; GBA)

Session Chair: Ling Liu, Georgia Tech, USA

Impact of Instance Seeking Strategies on Resource Allocation in Cloud Data Centers (CLOUD2013-3004) Hao Zhuang, Xin Liu, Zhonghong Ou, Karl Aberer (École Polytechnique Federale de Lausanne; Aalto University; Swiss Federal Institute of Technology Lausanne) Redundancy Aware Virtual Disk Mobility for Cloud Computing (CLOUD2013-3005) Alexei Karve, Andrzej Kochut (IBM T.J Watson Research Center, USA) Improving Availablity for Cloud-Based Applications through Deployment Choices (CLOUD2013-3006) Jim Zhanwen Li (NICTA) Research Track 3 - Privacy and Policy (06/28 Friday, 14:10-15:10; GBE)

Session Chair: Alexandra Shulman-Peleg, IBM Haifa Research Lab

Efficient Privacy-Preserving Range Queries over Encrypted Data in Cloud Computing (CLOUD2013-3007) Bharath Kumar Samanthula, Wei Jiang (Missouri S&T, USA) An Application-Level Approach for Privacy-preserving Virtual Machine Checkpointing (CLOUD2013-3008) Yaohui Hu, Tianlin Li, Ping Yang, Kartik Gopalan (SUNY Binghamton, USA) Configuration Policy Extraction for Parameter Settings in Cloud Infrastructure Using UML/OCL Verification (CLOUD2013-3009) Shinji Kikuchi, Tetsuya Uchiumi, Shinya Kitajima, Yasuhide Matsumoto (Fujitsu Laboratories Ltd, Japan) Research Track 4 - Mobile and Heterogeneous Clouds (06/29 Saturday, 8:30-9:30; GBA)

Session Chair: Khaleel Mershad, American University of Beirut, Lebanon

MuSIC: On Mobility-Aware Optimal Service Allocation in Mobile Cloud Computing (CLOUD2013-3010) Reza Rahimi, Nalini Venkatasubramanian, Athanasios Vasilakos (National Technical University) A Framework for Implementing Mobile Cloud Services in VANETs (CLOUD2013-3011) Khaleel Mershad, Hassan Artail (American University of Beirut, Lebanon) Improving the Efficiency of Cloud Infrastructures with Elastic Tandem Machines (CLOUD2013-3012) Frank Duerr (University of Stuttgart, Germany) Research Track 5 - Pricing Models (06/29 Saturday, 12:00-13:00; GBA)

Session Chair: Ulrich Lampe, TU Darmstadt, Germany

Minimizing the Operation Cost of Data Centers via Geographical Electricity Price Diversity (CLLOUD2013-3013) Zichuan Xu, Weifa Liang (Australian National University) Exploiting Performance and Cost Diversity in the Cloud (CLOUD2013-3014) Luke Leslie, Young Choon Lee, Albert Y. Zomaya, Peng Lu (The University of Sydney, Australia) Optimal Pricing and Service Provisioning Strategies in Cloud Systems: A Stackelberg Game Approach (CLOUD2013-3015) Valerio Di Valerio, Valeria Cardellini, Francesco Lo Presti (University of Rome Tor Vergata)

Page 37: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

37

Research Track 6 - Security (06/29 Saturday, 12:00-13:00; GBE)

Session Chair: Xuejun Zhuo, IBM China Research Lab

BigSecret: A Secure Data Management Framework for Key-Value Stores (CLOUD2013-3016) Erman Pattuk, Murat Kantarcioglu, Vaibhav Khadilkar, Huseyin Ulusoy, Sharad Mehrotra (University of Texas, USA) Secure Computation of Top-K Eigenvectors for Shared Matrices in the Cloud (CLOUD2013-3017) James Powers, Keke Chen (Wright State University, USA) A Server-Side Solution to Cache-Based Side-Channel Attacks in the Cloud (CLOUD2013-3018) Michael Godfrey, Mohammad Zulkernine (Queen's University, Canada) Research Track 7 - Scheduling and Load Balancing (06/30 Sunday, 8:30-9:30; GBA)

Session Chair: Keke Chen, Wright State University, USA

TimeCap: Methodology for Comparing IT Infrastructures Based on Time and Capacity Metrics (CLOUD2013-3019) Toni Mastelic, Ivona Brandic (Vienna University) Using Time Discretization to Schedule Scientific Workflows in Multiple Cloud Providers (CLOUD2013-3020)

Thiago Genez, Luiz Fernando Bittencourt, Edmundo Madeira (University of Campinas, Brazil) Join the Best Queue: Reducing Performance Variability in Heterogeneous Systems (CLOUD2013-3021) Sebastiano Spicuglia, Lydia Y. Chen, Walter Binder (IBM Research Zurich Lab; University of Lugano) Research Track 8 - Best Student Paper Candidates (06/30 Sunday, 13:30-14:30; GBA)

Session Chair: Liana Fong, IBM T.J. Watson Research Center, USA

An Experimental Study of Rapidly Alternating Bottlenecks in n-Tier Applications (CLOUD2013-3022) Qingyang Wang, Yasuhiko Kanemasa, Jack Li, Deepal Jayasinghe, Toshihiro Shimizu, Masazumi Matsubara, Motoyuki Kawaba, Calton Pu (Georgia Tech, USA; Fujitsu Laboratories Ltd., Japan) M-Lock: Accelerating Distributed Transactions on Key-Value Stores through Dynamic Lock Localization (CLOUD2013-3023) Naresh Rapolu, Srimat Chakradhar, Ananth Grama (Purdue University; NEC Laboratories, USA) Research Track 9 - Resource Provisioning and Allocation (06/30 Sunday, 14:45-15:45; GBA)

Session Chair: Gueyoung Jung, Xerox Research Center Webster, USA

A Family of Truthful Greedy Mechanisms for Dynamic Virtual Machine Provisioning and Allocation in Clouds (CLOUD2013-3024) Mahyar Movahed Nejad, Lena Mashayekhy, Daniel Grosu (Wayne State University, USA) Hierarchical Virtual Machine Consolidation in a Cloud Computing System (CLOUD2013-3025) Inkwon Hwang, Massoud Pedram (University of Southern California, USA) Residency Aware Inter-VM Communication in Virtualized Cloud Data Centers: Performance Measurement and Analysis (CLOUD2013-3026) Qi Zhang, Liu Ling, Ren Yi (Georgia Tech, USA) Research Track 10 - Autonomy (07/01 Monday, 8:30-9:30; GBA)

Session Chair: Young Choon Lee, The University of Sydney, Australia

VScaler: Autonomic Virtual Machine Scaling (CLOUD2013-3027) Lenar Yazdanov, Christof Fetzer (TU Dresden, Germany) Self-Adaptive Resource Allocation for Elastic Process Execution (CLOUD2013-3028) Philipp Hoenisch, Stefan Schulte, Schahram Dustdar, Srikumar Venugopal (Vienna University) CAP3: A Cloud Auto-Provisioning Framework for Parallel Processing Using On-demand and Spot Instances (CLOUD2013-3029) He Huang, Liqiang Wang, Byung Chul Tak, Long Wang, Chunqiang Tang (University of Wyoming; IBM T.J. Watson Research Center, USA) Research Track 11 - Best Paper Candidates (07/01 Monday, 13:30-14:30; GBA)

Session Chair: Alan Sussman, University of Maryland, USA

A Generic Framework for Application Configuration Discovery with Pluggable Knowledge (CLOUD2013-3030) Fanjing Meng, Xuejun Zhuo, Bo Yang, Jingmin Xu, Pu Jin, Ajay Apte, Joe Wigglesworth (IBM Research China) Data On-boarding in Federated Storage Clouds (CLOUD2013-3031)

Page 38: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

38

Gil Vernik, Alexandra Shulman-Peleg, Sebastian Dippl, Ciro Formisano, Michael C. Jaeger, Elliot K. Kolodner, Massimo Villari (Siemens AG; IBM Haifa Research Lab; University of Messina) Research Track 12 - Big Data (07/01 Monday, 14:45-15:45; GBA)

Session Chair: Iman Saleh, University of Miami, USA

Elephant, Do not Forget Everything! Efficient Processing of Growing Datasets (CLOUD2013-3032) Joerg Schad, Jorge-Arnulfo Quiane-Ruiz, Jens Dittrich (Saarland University; Qatar Computing Research Institute) Multi-Query Unification for Generating Efficient Big Data Processing Components from a DFD (CLOUD2013-

3033) Kosaku Kimura, Yoshihide Nomura, Hidetoshi Kurihara, Kouji Yamamoto, Rieko Yamamoto (Fujitsu Lab, Japan) Dragonfly: Cloud assisted Peer-to-Peer Architecture for Multipoint Media Streaming Applications (CLOUD2013-3034) Erdinc Korpeoglu, Cetin Sahin, Divyakant Agrawal, Amr El Abbadi, Takeo Hosomi, Yoshiki Seo (University of California, USA) Research Track 13 - Modeling and Performance (07/01 Monday, 16:00-17:00; GBA)

Session Chair: Rami Bahsoon, University of Birmingham, UK

CA-DAG: Communication-Aware Directed Acyclic Graphs for Modeling Cloud Computing Applications (CLOUD2013-3035) Johnatan Pecero, Andrei Tchernykh, Pascal Bouvry, Samee Khan, Albert Zomaya, Dzmitry Kliazovich (University of Luxembourg; North Dakota State University, USA) A Declarative Environment for Automatic Performance Evaluation in IaaS Clouds (CLOUD2013-3036) Matheus Cunha, Nabor Mendonca, Sampaio Americo (University of Fortaleza) Cloud Capability Estimation and Recommendation in Black-Box Environments Using Benchmark-Based Approximation (CLOUD2013-3037) Gueyoung Jung, Naveen Sharma, Frank Goetz, Tridib Mukherjee (Xerox Research Center Webster, USA)

Applications and Experiences Track Applications & Experience Track 1 – Cloud Storage (06/28 Friday, 8:30-9:30; GBB)

Session Chair: Vijay K. Naik, IBM Research, USA

Actively Measuring Personal Cloud Storage (CLOUD2013-3038) Raúl Gracia-Tinedo, Marc Sanchez Artigas, Adrián Moreno-Martínez, Cristian Cotes, Pedro Garcia-Lopez

(Universitat Rovira i Virgili) Scrutinizing the State of Cloud Storage with Cloud-RAID: A Secure and Reliable Storage above the Clouds (CLOUD2013-3039) Maxim Schnjakin, Christoph Meinel (Potsdam University, Germany) Data Replication for Distributed Graph Processing (CLOUD2013-3040)

Li-Yung Ho, Jan-Jan Wu, Pangfeng Liu (Institute of Information Science, Taiwan; National Taiwan University)

Applications & Experience Track 2 – Data in the Cloud (06/28 Friday, 13:00-14:00; GBB)

Session Chair: E. Michael Maximilien, IBM Research, USA

Efficient and Customizable Data Partitioning Framework for Distributed Big RDF Data Processing in the Cloud (CLOUD2013-3041) Kisung Lee, Ling Liu (Georgia Tech, USA) Toward an Ecosystem for Precision Sharing of Segmented Big Data (CLOUD2013-3042) Mark Shtern, Bradley Simmons, Michael Smit, Marin Litoiu (York University, Canada) Workload Monitoring in Hybrid Clouds (CLOUD2013-3105)

Vijay K. Naik, Kirk Beaty, Norbert Vogl, John Sanchez (IBM T.J. Watson Research Center; IBM, USA)

Applications & Experience Track 3 – Workload Management (06/28 Friday, 14:10-15:10; GBB)

Session Chair: Fei Li, Vienna University of Technology, Austria

Geographical Load Balancing for Online Service Applications in Distributed Datacenters (CLOUD2013-3044) Hadi Goudarzi, Massoud Pedram (University of Southern California, USA) Moving Target Load Balancing in the Cloud (CLOUD2013-3045)

Page 39: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

39

Hong Liu, Johnson Thomas and Praveen Khetavath (Oklahoma State University, USA) Assisting Cloud Service Migration Using Software Adaptation Techniques (CLOUD2013-3051) Javier Miranda, Joaqu´ın Guill´en, Juan Manue Murilloy, Carlos Canal (University of Extremadura, Spain) Applications & Experience Track 4 – Cloud Security I (06/29 Saturday, 8:30-9:30; GBE)

Session Chair: Atsuhiro GOTO, Institute of Information Security, Japan

Secure Enterprise Data Deduplication in the Cloud (CLOUD2013-3046) Fatema Rashid, Ali Miri, Isaac Woungang (Ryerson University, Canada) ID-Based Cryptography for Secure Cloud Data Storage (CLOUD2013-3047) Nesrine Kaaniche, Aymen Boudguiga, Maryline Laurent (Communicating System Laboratory, France; Institut Mines-Telecom) Security Threats in Cloud Computing Models: A Systematic Mapping Study (CLOUD2013-3048) Carlo Marcelo Revoredo da Silva, José Lutiano Costa da Silva (Federal University of Pernambuco, Brazil)

Applications & Experience Track 5 – Migration of Cloud Services (06/29 Saturday, 12:00-13:00; GBB)

Session Chair: Khaled Salah, Khalifa University of Science, Technology and Research

Implementing Scalable, Network-Aware Virtual Machine Migration for Cloud Data Centers (CLOUD2013-3049) Fung Po Tso, Gregg Hamilton, Konstantinos Oikonomou, Dimitrios P. Pezaros (University of Glasgow, Greece) Workload Classification Model for Specializing Virtual Machine Operating System (CLOUD2013-3043) Xinkui Zhao, Jianwei Yin, Zuoning Chen, Sheng He (Zhejiang University; Chinese Academy of Sciences; Jiangnan Institute of Computing Technology, China) Supporting the Migration of Applications to the Cloud through a Decision Support System (CLOUD2013-3050) Vasilios Andrikopoulos, Zhe Song, Frank Leymann (University of Stuttgart, Germany) Applications & Experience Track 6 – Cloud Performance (06/29 Saturday, 13:15-14:15; GBB)

Session Chair: Ningfang Mi, Northeastern University, USA

Smart CloudBench - Automated Performance Benchmarking of the Cloud (CLOUD2013-3052) Mohan Baruwal Chhetri, Sergei Chichin, Quoc Bao Vo, Ryszard Kowalczyk (Swinburne University) Improving wide-area replication performance through informed leader election and overlay construction (CLOUD2013-3053) Syed Kewaan Ejaz, Diogo Behrens, Thomas Knauth, Christof Fetzer (Systems Engineering Group TU Dresden, Germany) Elastic Resources Framework in IaaS, preserving performance SLAs (CLOUD2013-3054) Mohit Dhingra, J. Lakshmi, S. K. Nandy, Chiranjib Bhattacharyya, K. Gopinath (Indian Institute of Science) Applications & Experience Track7– Cloud QoS (06/30 Sunday, 8:30-9:30; GBB)

Session Chair: Tyrone W.A. Grandison, Proficiency Labs, USA

Design and Implementation of Effective Checkpointing for Multithreaded Applications on Future Clouds (CLOUD2013-3055) Itthichok Jangjaimon, Nian-Feng Tzeng (University of Louisiana, USA) Fault Tolerance as a Service (CLOUD2013-3056) Bipin B. Nandi, Himadri Sekhar Paul, Asnsuman Banerjee, Sasthi C. Ghosh (TCS Innovations Labs; Indian Statistical Institute) Incorporating Uncertainty into in-Cloud Application Deployment Decisions for Availability (CLOUD2013-3057) Qinghua Lu, Xiwei Xu, Liming Zhu, Len Bass, Zhanwen Li, Sherif Sakr, Paul Bannerman (University of Stuttgart, Germany) Applications & Experience Track 8 – Cloud Deployment (06/30 Sunday, 13:30-14:30; GBB)

Session Chair: Yuqing Gao, IBM T.J. Watson Research Center, USA

Capturing Customers’ Requirements towards Mixed-tenancy Deployments of SaaS-Applications (CLOUD2013-

3058) Stefan T. Ruehl, Holger Wache, Stephan A.W. Verclas (Clausthal University of Technology; University of Applied Sciences Northwestern Switzerland; T-Systems International GmbH, Germany) TREXCLOUD: Java EE IaaS Cloud Deployment Made Easy (CLOUD2013-3059) Roberto Costa, Americo Sampaio, Nabor Mendonca, Ricardo Hollanda Filho (University of Fortaleza; E-Novar)

Page 40: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

40

Enabling Dynamic Deployment of Cloud Applications Using a Modular and Extensible PaaS Environment (CLOUD2013-3060) Johannes Wettinger, Vasilios Andrikopoulos, Frank Leymann, Steve Strauch (University of Stuttgart, Germany) Applications & Experience Track 9 – Evaluation of Cloud Services (06/30 Sunday, 14:45-15:45; GBB)

Session Chair: Liqiang Wang, University of Wyoming, USA

Building Communicating Web Applications Leveraging Endpoints and Cloud Resource Service (CLOUD2013-

3061) Kundan Singh, Venkatesh Krishnaswamy (Avaya Labs, USA) An Evaluation of Cassandra for Hadoop (CLOUD2013-3062) Elif Dede, Bedri Sendir, Pinar Kuzlu, Jessica Hartog, Madhusudhan Govindaraju (SUNY Binghamton, USA) Towards Payment-Bound Analysis with Task-Prediction Errors in Cloud Systems (CLOUD2013-3063) Sheng Di, Cho-Li Wang, Derrick Kondo (The University of Hong Kong; INRIA, France) Applications & Experience Track 10 – Cloud Cost Optimizations I (07/01 Monday, 8:30-9:30; GBB)

Session Chair: Sheng Di, INRIA

A Lightweight Model for Estimating Energy Cost of Virtual Machine Live Migration (CLOUD2013-3064) Anja Strunk (Technical University of Dresden, Germany) Cost and Utilization Optimization of Amazon EC2 instances (CLOUD2013-3065) P. Kokkinos, T.A. Varvarigou, A. Kretsis, P. Soumplis, E.A. Varvarigos (National Technical University of Athens, Greece) Optimization of Electricity and Server Maintenance Costs in Hybrid Cooling Data Centers (CLOUD2013-3066) Shaoming Chen, Lu Peng, Yue Hu (Louisiana State University, USA)

Applications & Experience Track 11 – Cloud Cost Optimizations II (07/01 Monday, 13:30-14:30; GBB)

Session Chair: Andrzej M Goscinski, Deakin University, Australia

Labor Cost Reduction with Cloud: An End-to-End View (CLOUD2013-3067) Murthy Devarakonda, Purnendu Gupta, Chunqiang Tang (IBM T.J. Watson Research Center, USA) Tape Cloud: Scalable and Cost Efficient Big Data Infrastructure for Cloud Computing (CLOUD2013-3068) Varun Prakash, Yuanfeng Wen, Weidong Shi (University of Houston, USA) Addressing Data and User Mobility Challenges in the Cloud (CLOUD2013-3069) Lingfeng Chen, Doan B. Hoang (University of Technology, Sydney, Australia) Applications & Experience Track 12 – Cloud Security II (07/01 Monday, 14:45-15:45; GBB)

Session Chair: Bhavani Thuraisingham, University of Texas, Dallas, USA

A Practical and Secure Multi-Keyword Search Method over Encrypted Cloud Data (CLOUD2013-3070) Cengiz Orencik, Murat Kantarcioglu, Erkay Savas (The University of Texas at Dallas, USA; Sabanci University, Turkey) Access Protocols in Data Partitioning Based Cloud Storage (CLOUD2013-3071) Yunqi Ye, Liangliang Xiao, Yinzi Chen, I-Ling Yen, Farokh Bastani, Ing-Ray Chen (University of Texas at Dallas, USA) Privacy-Preserving Collaborative Filtering on the Cloud – Practical Implementation Experiences (CLOUD2013-3072) Anirban Basu, Jaideep Vaidya, Hiroaki Kikuchi, Theo Dimitrakos (Rutgers University, USA; Tokai University; BT Innovate) Applications & Experience Track 13 – Cloud Networking (07/01 Monday, 16:00-17:00; GBB)

Session Chair: Iman Saleh, University of Miami, USA

Path Consolidation for Dynamic Right-Sizing of Data Center Networks (CLOUD2013-3073) Muhammad Abdullah Adnan and Rajesh Gupta (University of California, San Diego, USA) DR2: Dynamic Request Routing for Tolerating Latency Variability in Cloud Applications (CLOUD2013-3074) Jieming Zhu, Zibin Zheng, Michael R. Lyu (The Chinese University of Hong Kong or National University , China) Towards Network Virtualization Management for Federated Cloud Systems (CLOUD2013-3075) Mon-Yen Luo, Shang-Wei Lin (National Kaohsiung University of Applied Sciences, Taiwan) Applications & Experience Track 14 – Cloud Evaluation Model (07/01 Monday, 13:30-14:30; GBC)

Session Chair: Cesar Gonzales, USA

Page 41: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

41

Evaluation Criteria for Cloud Services (CLOUD2013-3076) Pedro Costa, João Paulo Santos, Miguel Mira da Silva (Instituto Superior Tecnico, Portugal) Cloud Maturity Model (CLOUD2013-3077) Andre Duarte, Miguel Mira da Silva (Instituto Superior Tecnico, Portugal) Applications & Experience Track 15 – Cloud Frameworks (07/01 Monday, 14:45-15:45; GBC)

Session Chair: Yan Wang, Macquarie University, Australia

Cloud-as-a-Gift: Effectively Exploiting Personal Clouds Free Accounts via REST APIs (CLOUD2013-3079) Raul Gracia-Tinedo, Marc Sanchez Artigas and Pedro Garcia Lopez (Universitat Rovira i Virgili, Spain) Architecture and Key Issues of IMS-based Cloud Computing (CLOUD2013-3080) Wei Zhang, Weimin Lei, Xiao Chen, Shaowei Liu (Northeastern University, China) Deriving a Distributed Cloud Proxy Architecture for Managed Cloud Service Consumption (CLOUD2013-3078) Dirk Thatmann, Mathias Slawik, Sebastian Zickau, and Axel Kupper (Technische Universi at Berlin and Telekom Innovation Laboratories, Germany) Applications & Experience Track 16 –Cloud Applications (07/01 Monday, 16:00-17:00; GBC)

Session Chair: Miguel Vargas Martin, University of Ontario Institute of Technology, Canada

Cloud-Based Application Whitelisting (CLOUD2013-3081) Jennia Hizver, Tzi-cker Chiueh (Stony Brook University, USA) DartCSim+: Enhanced CloudSim with the Power and Network Models Integrated (CLOUD2013-3082) Xiang Li, Xiaohong Jiang, Kejiang Ye, Peng Huang (Zhejiang University, China) Applications & Experience Track 17 –Cloud Resource Management (07/02 Tuesday, 8:30-9:30; GBA)

Session Chair: Steve Yau, Arizona State University, USA

Chisel: A Resource Savvy Approach for Handling Skew in MapReduce Applications (CLOUD2013-3083) Prateek Dhawalia, Sriram Kailasam, Dharanipragada Janakiram (Distributed and Object Systems Lab, India) Towards Win-Win: Multiobjective Constrained Resource Management in Cloud Federation (CLOUD2013-3084) Haopeng Chen, Wenting Wang, Wenyun Dai, Xi Chen, Yisheng Wang (Tong Ji University, China) QoS-Aware VM Placement in Multi-Domain Service Level Agreements Scenarios (CLOUD2013-3085) Kuan Lu, Ramin Yahyapour, Philipp Wieder, Constantinos Kotsokalis, Edwin Yaqub, Ali Imran Jehangiri (GWDG, Germany) Applications & Experience Track 18 –Social Clouds (07/02 Tuesday, 8:30-9:30; GBB)

Session Chair: Nianjun (Joe) Zhou, IBM T.J. Watson Research Center, USA

Broker Emergence in Social Clouds (CLOUD2013-3086) Ioan Petri, Magdalena Punceva, Omer F. Rana, George Theodorakopoulos (Cardiff University, UK; Rutgers University, USA) Scale-Space Filtering for Workload Analysis and Forecast (CLOUD2013-3087) Gustavo A. C. Santos, Jose G. R. Maia, Leonardo O. Moreira, Flavio R. C. Sousa, Javam C. Machado (Federal University of Ceara, Brazil) Scaling Archived Social Media Data Analysis using a Hadoop Cloud (CLOUD2013-3088) Javier Conejero, Peter Burnap, Omer Rana, Jeffrey Morgan (University of Castilla-La Mancha, Spain; Cardiff University, UK) Applications & Experience Track 19 – Cloud Management (07/02 Tuesday, 9:45-10:45; GBA)

Session Chair: Xumin Liu, Rochester Institute of Technology, USA

PaaS-independent Provisioning and Management of Applications in the Cloud (CLOUD2013-3089) Mohamed Sellami, Sami Yangui, Mohamed Mohamed, Samir Tata (Telecom SudParis, France) A Proactive Cloud Management Architecture for Private Clouds (CLOUD2013-3090) Dapeng Dong, John Herbert (University College Cork, Ireland) Concurrency Optimized Task Scheduling for workflows in Cloud (CLOUD2013-3091) Yihong Gao, Huadong Ma, Haitao Zhang, Xiangqi Kong, Wangyang Wei (Beijing University, China) Applications & Experience Track 20 – Energy Management (07/02 Tuesday, 9:45-10:45; GBB)

Session Chair: Meiko Jensen, ULD SH, Germany

Page 42: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

42

An Architectural Framework for Enforcing Energy Management Policies in Cloud (CLOUD2013-3092) Marwah M. Alansari, Behzad Bordbar (University of Birmingham, UK) Understanding Tradeoffs between Power Usage and Performance in a Virtualized Environment (CLOUD2013-

3093) James W. Smith, Ian Sommerville (University of St Andrews, Scotland) User-based CPU Verification Scheme for Public Cloud Computing (CLOUD2013-3094) Huanyang Zheng, Kangkang Li, Chiu C. Tan, Jie Wu (Temple University, USA)

Industry Track Industry Track 1 – Cloud Scalability Management (06/28 Friday, 8:30-9:30; GBC)

Session Chair: Rong Chang, IBM T.J. Watson Research Center, USA

Efficient and Scalable IoT Service Delivery on Cloud (CLOUD2013-3095) Fei Li, Michael Vogler, Markus Claeßens, Schahram Dustdar (Vienna University, Austria) Dynamic Scalability of a Consolidation Service (CLOUD2013-3096) Ahmed El Rheddane, Noel De Palma, Fabienne Boyer, Frederic Dumont, Jean-Marc Menaud (Mines de Nantes, France) A Queueing Model to Achieve Proper Elasticity for Cloud Cluster Jobs (CLOUD2013-3097) Khaled Salah (KUSTAR University) Industry Track 2 – Cloud Fault Tolerance and Availability (06/28 Friday, 13:00-14:00; GBC)

Session Chair: Lei Yu, Beijing University of Posts and Telecommunications

Energy Efficient Fault Tolerance for High Performance Computing (HPC) in the Cloud (CLOUD2013-3098) Ifeanyi P. Egwutuoha, Shiping Chen, David Levy, Bran Selic, Rafael Calvo (The University of Sydney, Australia) Experiences with a Private Enterprise Cloud: Providing Fault Tolerance and High Availability for Interactive EDA Applications (CLOUD2013-3099) Vinaya Kamath, Ravi Giri, Rajeev Muralidhar (Intel Corporation, India) Achieving High Availability at the Application Level in the Cloud (CLOUD2013-3100) Ali Kanso, Yves Lemieux (Ericsson Research, Canada) Industry Track 3 – Cloud Quality Control (06/28 Friday, 14:10-15:10; GBC)

Session Chair: Sean Thorpe, University of Technology, Jamaica

Advanced Quality Measurement for Cloud Services Transparent Key Performance Indicators considering Cloud Characteristics (CLOUD2013-3101) André Zwanziger, Anja Fiegler, Niko Zenker, Reiner Dumke, Robert Neumann (Otto-von-Guericke University, Germany) MAT: A Migration Assessment Toolkit for PaaS Clouds (CLOUD2013-3102) Vibhu Saujanya Sharma, Shubhashis Sengupta, Satish Nagasamudram (Accenture Technology Labs, India) Provenance Monitoring in the Cloud (CLOUD2013-3103) Yingmin Li, Omar Boucelma (Domaine Universitaire de Saint-Jerome, France) Industry Track 4 – Cloud Workload (06/29 Saturday, 8:30-9:30; GBC)

Session Chair: Khaled Salah, Khalifa University of Science, Technology and Research

Workload Predicting-Based Automatic Scaling in Service Clouds (CLOUD2013-3104) Jingqi Yang, Chuanchang Liu, Yanlei Shang, Zexiang Mao, Junliang Chen (University of Posts and Telecommunications, China) Residency-Aware Virtual Machine Communication Optimization: Design Choices and Techniques (CLOUD2013-3106)

Yi Ren, Ling Liu, Qi Zhang, Qingbo Wu, Jinzhu Kong, Jianbo Guan, Huadong Dai, Lisong Shao (National University of Defense Technology, China) HGrid: A Data Model for Large Geospatial Data Sets in Hbase (CLOUD2013-3117)

Dan Han, Eleni Stroulia (University of Alberta, Canada)

Industry Track 5 – Cloud Modeling (06/29 Saturday, 12:00-13:00; GBC)

Session Chair: Shubhashis Sengupta, Accenture Technology Labs, USA

Page 43: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

43

Provisioning Legacy Simulation Applications in Product Lifecycle Management via a Cloud Platform (CLOUD2013-3107)

Liangzhao Zeng, Charles Perng, Ajay Mohindra (IBM T.J. Watson Research Center, USA) Performance Modeling of MapReduce Jobs in Heterogeneous Environments (CLOUD2013-3108)

Zhuoyao Zhang, Ludmila Cherkasova, Boon Thau Loo (HP Labs; University of Pennsylvania, USA) Result Integrity Check for MapReduce Computation on Hybrid Clouds (CLOUD2013-3109)

Yongzhi Wang, Jinpeng Wei, Mudhakar Srivatsa (Florida International University; IBM T.J. Watson Research Center, USA)

Industry Track 6 – Cloud Analytics (06/29 Saturday, 13:15-14:15; GBC)

Session Chair: Liangzhao Zeng, IBM T.J. Research Center, USA

Evaluation of a Server-Grade Software-Only ARM Hypervisor (CLOUD2013-3110) Alexey Smirnov, Mikhail Zhidko, Ying-Shiuan Pan, Po-Jui Tsao, Kuang-Chih Liu, Tzi-Cker Chiueh (Industrial

Technology Research Institute, Taiwan) Machine Learning In Virtualization: Estimate a Virtual Machine’s Working Set Size (CLOUD2013-3111)

Anna Melekhova (Parallels Moscow, Russia) Analytics for Product Planning: In-depth Interview Study with SaaS Product Managers (CLOUD2013-3112)

Farnaz Fotrousi, Katayoun Izadyan, Samuel A. Fricker (Karlskrona, Sweden)

Industry Track 7 – Cloud Models (06/30 Sunday, 8:30-9:30; GBC)

Session Chair: Kosaku Kimura, Fujitsu Laboratories Ltd.

Models and Guidelines for Dimensioning Private Clouds (CLOUD2013-3113) Laura Brandwacht, Erik Meeuwissen, Hans van den Berg (Performance of Networks and Systems, the Netherlands)

Towards Model-Driven Deployment, Provisioning, Monitoring, and Adaptation of Multi-Cloud Systems (CLOUD2013-3114)

Nicolas Ferry, Alessandro Rossini, Franck Chauvel, Brice Morin, Arnor Solberg (SINTEF, Norway) Cloud Atlas: A Software Defined Networking Abstraction for Cloud to WAN Virtual Networking (CLOUD2013-

3115) Stephan Baucke, Racha Ben Ali, James Kempf, Franco Ferioli, Angelo Carossino (Ericsson Telecomunicazioni, Italy)

Industry Track 8 – Data in Cloud (06/30 Sunday; 8:30-9:30; GBE)

Session Chair: Theresa M. Vitolo, Gannon University, USA

Complex Queries in a Shared Multi User Relational Cloud Database (CLOUD2013-3116) Vasily Sidorov, Wee Keong Ng (Nanyang Technological University, Singapore) Secure Outsourcing of Scientific Computations as a Service (CLOUD2013-3118) Mohamad Nassar, Farida Sabri, Abdelkarim Erradi, Qutaibah M. Malluhi (Qatar University) Industry Track 9 – Cloud Applications (06/30 Sunday, 14:45-15:45; GBC)

Session Chair: Charles Perng, IBM T.J. Watson Research Center, USA

Incident Notification Process as a Service for Electricity Supply Systems (CLOUD2013-3119) Lai Xu, Paul de Vrieze, Nan Jiang (Bournemouth University, UK) Digital Library Engine: Adapting Digital Library for Cloud Computing (CLOUD2013-3120)

Weiming Lu, Liangju Zheng, Jian Shao, Baogang Wei, Yueting Zhuang (Zhejiang University, China)

Work-in-Progress Track Work-in-Progress Track 1 – Workload Scheduling and Resource Allocation (06/27 Thursday, 14:30-16:00;

Santa Barbara)

Session Chair: Sasko Ristov, Ss. Cyril and Methodius, Macedonia

A Theoretical Approach to the Data-Oriented Scheduling Strategies across Multiple Clouds (CLOUD2013-3121)

Yongzheng Ma, Kai Nan (CAS) A Dynamic Virtual Resource Renting Method for Maximizing the Profit of Cloud Service Provider under SLA Constraint (CLOUD2013-3122) Ao Zhou, Shangguang Wang, Qibo Sun, Zou Hua, Fangchun Yang (Beijing University, China) QoS-Aware, Cost-Efficient Selection of Cloud Data Centers (CLOUD2013-3123)

Page 44: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

44

Ronny Hans, Ulrich Lampe, Ralf Steinmetz (Technische Universität Darmstadt; TU Darmstadt, Germany) Optimal Resource Allocation to Host Web Services in Multi-tenant Cloud (CLOUD2013-3124) Marjan Gusev, Ristov Sasko, Goran Velkoski, Monika Simjanoska (Ss. Cyril and Methodius University) iVMp: an Interactive VM Placement Algorithm for Agile Capital Allocation (CLOUD2013-3125) Xi Li, Anthony Ventresque, Nicola Stokes, James Thorburn, John Murphy (University College Dublin; IBM)

Work-in-Progress Track 2 - Security, Privacy, and Trustworthiness (06/27 Thursday, 16:10-17:40; GBE)

Session Chair: Zhixiong Chen, Mercy College, USA

Privacy-preserved Mobile Sensing through Hybrid Cloud Trust Framework (CLOUD2013-3126) Joy Zhang, Pang Wu, Jiang Zhu, Hao Hu, Flavio Bonomi (Carnegie Mellon University – Silicon Valley; Cisco Systems Inc., USA) Vulnerability Detection of Android System in Fuzzing Cloud (CLOUD2013-3127) Jingzheng Wu, Yanjun Wu, Mutian Yang, Zhifei Wu, Yongji Wang (Chinese Academy of Sciences) Framework for Assessing Cloud Trustworthiness (CLOUD2013-3128) Curt Wu, Steve Marotta (Charles River Analytics) Towards a Stakeholder-Oriented Taxonomical Approach for Secure Cloud Computing (CLOUD2013-3129)

Abdullah Abuhussein, Harkeerat Bedi, Sajjan Shiva (University of Memphis, USA)

Work-in-Progress Track Session 3 - Monitoring, Management, and Provisioning (I) (06/27 Thursday, 16:10-

17:40; Santa Barbara) Session Chair: Qishi Wu, University of Memphis, USA

On the Accuracy of Time Measurements in Virtual Machines (CLOUD2013-3130) Ulrich Lampe, Markus Kieselmann, André Miede, Sebastian Zöller, Ralf Steinmetz (Technische Universität Darmstadt) Monitoring and Controlling Research Experiments in Cloud Testbeds (CLOUD2013-3131) Andreas Wolke, Deepak Srivastav (Technical University Munich) Dynamic Rule based SLA Management in Clouds (CLOUD2013-3132) Nikoletta Mavrogeorgi (NTUA, Greece) SLA Approach for “Cloud as a Service” (CLOUD2013-3133) Ines Ayadi, Noemie Simoni, Tatiana Aubonnet (Telecom-paristech; CNAM) An Auto Window Filter Algorithm for Resource Monitoring in Cloud (CLOUD2013-3134) Rongheng Lin, Yao Zhao (Beijing University, China) Work-in-Progress Track Session 4 - Monitoring, Management, and Provisioning (II) (07/02 Tuesday, 9:45-

10:45; GBC) Session Chair: Qishi Wu, University of Memphis, USA

Avoiding Lock-In: Timely Reconfiguration of A Virtual Cloud Platform on Top of Multiple PaaS and IaaS Providers (CLOUD2013-3135)

Melo Paulo, Catarina Ferreira (University of Coimbra; University of Lyon, France) Refundable Service through Cloud Brokerage (CLOUD2013-3136) Al Amin Hossain, Eui-Nam Huh (Kyung Hee University) Towards the Automatic Detection of Efficient Computing Assets in a Heterogeneous Cloud Environment (CLOUD2013-3137) Jesus Omana, Nicola Stokes, Anthony Ventresque, Liam Murphy, James Thorburn (American University of Beirut) Interactive Exploitation of Nonuniform Cloud Resources for LHC Computing at CERN (CLOUD2013-3138) Dario Berzano, Jakob Blomer, Predrag Buncic, Gerardo Ganis, Georgios Lestaris, Rene Meusel (CERN PH-SFT, Switzerland)

Page 45: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

45

2013 IEEE Second International Conference on Mobile Services (MS 2013)

Research Track Research Track 1 (07/01 Monday, 8:30-9:30; Newport Beach)

Session Chair: Michael Melliar-Smith, University of California - Santa Barbara, USA

Energy-efficient Web Service Invocation on Mobile Devices: The Influence of Compression and Parsing (MS2013-5001) Ronny Hans, Manuel Zahn, Ulrich Lampe, Apostolos Papageorgiou, Ralf Steinmetz (Technische Universität Darmstadt, Germany; NEC Laboratories Europe, Germany) A Bayesian Game Formulation of Power Dissipation and Response Time Minimization in a Mobile Cloud Computing System (MS2013-5002) Yanzhi Wang, Xue Lin, Massoud Pedram (University of Southern California, USA) Mobile Web Service Provisioning and Discovery in Android Days (MS2013-5003) Satish Srirama, Carlos Paniagua (University of Tartu, Estonia) Research Track 2 (07/01 Monday, 13:30-14:30; Newport Beach)

Session Chair: Munindar P. Singh, North Carolina State University, USA

Perturbation with General Tendency for Mobile Community Sensing (MS2013-5004) Shunsuke Aoki, Hiroki Kobayashi, Masayuki Iwai, Kaoru Sezaki (The University of Tokyo, Japan) Efficient Trajectory Cover Search for Moving Object Trajectories (MS2013-5005) Vikram Goyal, Ankita Likhyani, Neha Bansal, Ling Liu (IIIT-Delhi, India; Georgia Tech, USA) Transformation Middleware for Heterogeneous Healthcare Data in Mobile E-Health Environments (MS2013-5006) Dimo Ivanov, Andreas Kliem, Odej Kao (Technische Universitat Berlin, Germany) An Evaluation Framework for Cross-Platform Mobile Application Development Tools (MS2013-5007) Sunny Dhillon and Qusay H. Mahmoud

Applications and Industry Track Applications & Experience Track 1 (07/01 Monday, 14:45-15:45; Newport Beach)

Session Chair: Apostolos Papageorgiou, NEC

Positioning Enabler for Realizing Location-Based Community Services (MS2013-5008) Mohamed Salem, Ulrich Bareth, Axel Küpper (Telekom Innovation Laboratories, Germany) Design of a Best Load Balancing Method for Anti-Disaster Mobile Mesh Communication Networks (MS2013-

5009) Junbo Wang, Zixue Cheng, Peng Li, Jian Chen, Yinghui Zhou (The University of Aizu, Japan; Waseda University, Japan) Cloud Services Brokerage for Ubiquitous Cloud Computing (MS2013-50010) Richard Lomotey, Ralph Deters (University of Saskatchewan, Canada) Applications & Experience Track 2 (07/01 Monday, 16:00-17:00; Newport Beach)

Session Chair: Xuanzhe Liu, Peking University, China

Decentralized Workflow Execution on Mobile Phone (MS2013-5011) Bingfeng Pi, Gang Zou, Chao-liang Zhong, Jun Zhang, Hao Yu (Fujitsu Research and Development Center, China) AppBeach: Characterizing App Behaviors via Static Binary Analysis (MS2013-5012) Fang Yu, Yuan-Chieh Lee, Steven Tai, Wei-Shao Tang (National Chengchi University Taiwan) A CCRA-based Architecture for Enterpirse Mobile Cloud Computing (MS2013-5013) Bo Hu, Jian Wang, Liang-Jie Zhang, Chunxiao Xing, Keqing He (Kingdee Research, China; Wuhan University, China; Tsinghua University, China) Energy Consumption Analysis in Ubiquitous Cloud Computing (MS2013-5014) Richard Lomotey, Ralph Deters (University of Saskatchewan, Canada)

Page 46: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

46

Work-in-Progress Track WIP Track 1 (07/02 Tuesday, 8:30-9:30; Newport Beach)

Session Chair: Ke Ning, Kingdee Research, China Will Mobile Cloud Gaming Work? Findings on Latency, Energy, and Cost (MS2013-5015)

Ulrich Lampe, Ronny Hans, Ralf Steinmetz (Technische Universität Darmstadt, Germany) A Practical Platform for Combining Sensor-measurement from Body Sensor Networks with Flexible Human-provided Tagging (MS2013-5016)

Vinh Bui, Rafal Kocielnik, Natalia Sidorova, Richard Verhoeven, Johan J. Lukkien (Eindhoven University of Technology, Netherlands) MMM: A Multilevel-multidimensional Model for Dynamic IoT Service Selection (MS2013-5017) Shuai Zhao, Zhang Yang, Junliang Chen (Beijing University of Posts and Telecommunications, China)

Page 47: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

47

2013 IEEE Second International Congress on Big Data (BigData 2013)

Research Track Research Session 1 – Big Data Scalability (06/30 Sunday, 8:30-9:30; Santa Barbara)

Session Chair: Carl K. Chang, Iowa State University, USA

A Database-Hadoop Hybrid Approach to Scalable Machine Learning (BigData2013-4001) Makoto Yui, Isao Kojima (National Institute of Advanced Industrial Science and Technology, Japan) Performance Overhead Among Three Hypervisors: An Experimental Study using Hadoop Benchmarks (BigData2013-4002) Jack Li, Qingyang Wang, Deepal Jayasinghe, Junhee Park, Tao Zhu, Calton Pu (Georgia Tech, USA) Data Allocation in Scalable Distributed Database Systems Based on Time Series Forecasting (BigData2013-4003) Shun Pun Li, Man-Hon Wong (The Chinese University of Hong Kong, China) Research Session 2 – Privacy Issues (06/30 Sunday, 13:30-14:30; GBE)

Session Chair: Steve Yau, Arizona State University, USA

A Discussion of User Profiling with Big Data Techniques and the associated Privacy Challenges (BigData2013-

4004) Omar Hasan, Benjamin Habegger, Lionel Brunie, Nadia Bennani, Ernesto Damiani (University of Lyon, France; University of Milan, Italy) Approximate Two-Party Privacy-Preserving String Matching with Linear Complexity (BigData2013-4005) Martin Beck, Florian Kerschbaum (Technische Universitat Dresden, Germany; SAP Research Karlsruhe, Germany) Engineering Privacy for Big Data Applications with the Unified Modeling Language (BigData2013-4006)

Dawn Jutla, Peter Bodorik, Sohail Ali (Saint Mary’s University, Canada; Dalhousie University, Canada) Research Session 3 – Big Data Mining (06/30 Sunday, 14:45-15:45, Santa Barbara)

Session Chair: Ernesto Damiani, University of Milan, Italy

Milieu: Lightweight and Configurable Big Data Provenance for Science (BigData2013-4007) You-Wei Cheah, Richard Canon, Beth Plale, Lavanya Ramakrishnan (Indiana University, USA; Lawrence Berkeley National Laboratory, USA) Consistent Process Mining Over Big Data Triple Stores (BigData2013-4008)

Antonia Azzini, Paolo Ceravolo (Universita degli Studi di Milano, Italy) Research Session 4 – Big Data Cloud (07/01 Monday, 8:30-9:30, Santa Barbara)

Session Chair: Louise Moser, University of California – Santa Barbara, USA

Towards Cloud-based Analytics-as-a-Service (CLAaaS) for Big Data Analytics in the Cloud (BigData2013-4009) Farhana Zulkernine, Patrick Martin, Ying Zou, Michael Bauer, Femida Gwadry-Sridhar, Ashraf Aboulnaga (Queen’s University, Canada; Western University London, Canada; University of Waterloo, Canada) Scalable and Trustworthy Cross-Enterprise WfMSs by Cloud Collaboration (BigData2013-4010) Hwang Gwan-Hwan, Kao Yi-Chan, Yu-Cheng Hsiao (National Taiwan Normal University) A Bandwidth-Conscious Caching Scheme for Mobile Devices (BigData2013-4011) Badari Thyamagondlu, Victor Chu, Raymond Wong (University of New South Wales, Australia)

Research Session 5 – Pervasive Big Data (07/01 Monday, 13:30-14:30, Santa Barbara)

Session Chair: Ranjan K Sen, Booz Allen Hamilton, USA

Towards A Quality-Centric Big Data Architecture for Federated Sensor Services (BigData2013-4012) Lakshmish Ramaswamy, Victor Lawson, Siva Venkat Gogineni (University of Georgia, USA) Learning Classifiers from Chains of Multiple Interlinked RDF Data Stores (BigData2013-4013) Harris Lin, Vasant Honavar (Iowa State University, USA) Multi-Resolution Social Network Community Identification and Maintenance on Big Data Platform (BigData2013-4014) Hidayet Aksu, Mustafa Canim, Yuan-Chi Chang, Ibrahim Korpeoglu, Özgür Ulusoy (Bilkent University, Turkey; IBM T.J. Watson Research Center, USA)

Page 48: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

48

Research Session 6 – Rule Mining (07/01 Monday, 14:45-15:45, Santa Barbara)

Session Chair: Sanat Bista, CSIRO ICT Centre, Australia

Online Association Rule Mining over Fast Data (BigData2013-4015) Erdi Olmezoğulları, Ismail Ari (Özyegin University Istanbul, Turkey) Approximate Incremental Big-Data Harmonization (BigData2013-4016) Puneet Agarwal, Gautam Shroff, Pankaj Malhotra (TCS Innovation Labs, Delhi; Tata Consultancy Services Ltd., India; Noida, India) Countering the Concept-drift Problem in Big Data Using iOVFDT (BigData2013-4017) Hang Yang, Simon Fong (University of Macau, China)

Research Special Session 1 – Social Media Data Analytics (07/01 Monday, 8:30-9:30, Portland)

Session Chair: Ming-Chien Shan, SAP, USA

MapReduce-Based Simrank Computation and Its Application in Social Recommender System (BigData2013-

4018) Lina Li, Cuiping Li, Hong Chen (Renmin University of China, China) Duplicate Detection for Identifying Social Spaming Microblogs (BigData2013-4019) Qunyan Zhang, Haixin Ma, Weining Qian, Aoying Zhou (East China Normal University, China) Graph-Based Hierarchical Categorization of Microblog Users (BigData2013-4020) Kun Yue, Minqi Zhou, Jixian Zhang, Ping Zhang, Qiyu Fang, Weiyi Liu (Renmin University of China, China; East China Normal University)

Research Special Session 2 – Big Data Querying (07/01 Monday, 13:30-14:30, Portland)

Session Chair: Qi Yu, Rochester Institute of Technology, USA

Scalable Parallel Join for Huge Tables (BigData2013-4021) Nianlong Weng, Minqi Zhou, Ming-Chien Shan, Aoying Zhou (Fudan University, China; East China Normal University, China; SAP Research, USA) Efficient SPARQL Query Evaluation in a Database Cluster (BigData2013-4022) Fang Du, Haoqiong Bian, Yueguo Chen, Xiaoyong Du (Renmin University of China, China) A BSP-based Parallel Iterative Processing System with Multiple Partition Strategies for Big Graphs (BigData2013-4023) Zhigang Wang, Yubin Bao, Yu Gu, Fangling Leng, Ge Yu, Chao Deng, Leitao Guo (Northeastern University, China; China Mobile Institute, China)

Research Special Session 3 – Big Graph Data (07/01 Monday, 14:45-15:45, Portland)

Session Chair: Aoying Zhou, East China Normal University, China

Fast Similar Subgraph Search with Maximum Common Connected Subgraph Constraints (BigData2013-4024) Huiqi Hu, Guoliang Li, Jianhua Feng (Tsinghua University, China) Revealing the Causes of Dynamic Change in Protein-Protein Interaction Network (BigData2013-4025) Yang Guo, Xuequn Shang, Jing Li, Zhanhuai Li (Northwestern Polytechnical University, China) SPTI: Efficient Answering the Shortest Path Query on Large Graphs (BigData2013-4026) Yifei Zhang, Guoren Wang (Northeastern University, China)

Research Special Session 4 – MapReduce (07/01 Monday, 16:00-17:00, Portland)

Session Chair: Hongbing Wang, Southeast University, China

Efficient Probabilistic Skyline Query Processing in MapReduce (BigData2013-4027) Linlin Ding, Guoren Wang, Junchang Xin, Ye Yuan (Northeastern University, China) A Throughput Driven Task Scheduler for Improving MapReduce Performance in Job-intensive Environments (BigData2013-4028) Xite Wang, Derong Shen, Ge Yu, Tiezheng Nie, Yue Kou (Northeastern University, China)

Research Special Session 5 – Big Data Infrastructure (07/02 Tuesday, 8:30-9:30, Seattle)

Session Chair: M. Brian Blake, University of Miami, USA

Massive Parallel Join in NUMA Architecture (BigData2013-4029) Wei He, Minqi Zhou, Xiaofeng He, Xiaoling Wang (East China Normal University, China)

Page 49: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

49

Optimal Self-Healing of Service-Oriented Systems with Incomplete Information (BigData2013-4030) Hongbing Wang, Xiaojun Wang, Qi Yu (Southeast University, China; Rochester Institute of Technology, USA)

Applications and Industry Tracks Industry and Application Session 1 – Privacy Protection (07/01 Monday, 8:30-9:30, GBE)

Session Chair: Wu Chou, Huawei, USA

Challenges of Privacy Protection in Big Data Analytics (BigData2013-4031) Meiko Jensen (Independent Centre for Privacy Protection Schleswig-Holstein (ULD) Kiel, Germany) Decentralized Trust Driven Access Control for Mobile Content Sharing (BigData2013-4032) B.S. Vidyalakshmi, Raymond Wong, Chi-Hung Chi (University of New South Wales, Australia; CSIRO, Australia) Industry and Application Session 2 – Big Data Analysis (07/01 Monday, 13:30-14:30, Seattle)

Session Chair: Chi-Hung Chi, CSIRO, Australia

Cost and Time Aware Ant Colony Algorithm for Data Replica in Alpha Magnetic Spectrometer Experiment (BigData2013-4033) Lijuan Wang, Junzhou Luo, Jun Shen, Fang Dong (University of Wollongong, Australia; Southeast University, China) Techniques for Graph Analytics on Big Data (BigData2013-4034) Muhammad Nisar, Arash Fard, John Miller (University of Georgia, USA) Data Abstraction and Visualisation in Next Step: Experiences from a Government Services Delivery Trial (BigData2013-4035) Sanat Bista, Surya Nepal, Cecile Paris (CSIRO, Australia)

Industry and Application Session 3 – System Architecture (07/01 Monday, 14:45-15:45, Seattle)

Session Chair: Michael R. Lyu, The Chinese University of Hong Kong, China

CroTIS - Crowdsourced based Traffic Information System (BigData2013-4036) Roopa T, Anantharaman Narayana Iyer, Shanta Rangaswamy (PES Institute of Technology, India; Adobe Systems Inc., India; RV College Of Engineering, India) Characterization of 3G Data-plane Traffic and Application towards Centralized Control and Management for Software Defined Networking (BigData2013-4037) Min Luo, Bin Wu, Long Qian, Renbo Zhang, Weiyu Zhang (Huawei, USA; BUPC, China)

Industry and Application Session 4 – Domain Knowledge (07/01 Monday, 16:00-17:00, Seattle)

Session Chair: Rong Chang, IBM T.J. Watson Research Center, USA

Smart M2M Data Filtering using Domain-specific Thresholds in Domain-agnostic Platforms (BigData2013-4038) Apostolos Papageorgiou, Mischa Schmidt, JaeSeung Song, Nobuharu Kami (NEC Laboratories Europe Heidelberg, Germany; NEC Corporation Tokyo, Japan) Full Recognition of Massive Products Based on Property Set (BigData2013-4039) Li Kuang, Chen Liang, Yanan Xie, Wu Jian (Central South University, China; Zhejiang University, China) Learning Classifiers from Distributional Data (BigData2013-4040) Harris Lin, Sanghack Lee, Ngot Bui, Vasant Honavar (Iowa State University, USA)

Industry and Application Session 5 – Workflow Computing (07/02 Tuesday, 8:30-9:30, Portland)

Session Chair: Zibin Zheng, The Chinese University of Hong Kong, China

Highly Scalable Sequential Pattern Mining based on MapReduce Model on the Cloud (BigData2013-4041) Chun-Chieh Chen, Chi-Yao Tseng, Ming-Syan Chen (National Taiwan University, China) Small Is Beautiful: Summarizing Scientific Workflows Using Semantic Annotations (BigData2013-4042) Pinar Alper, Khalid Belhajjame, Carole Goble, Pinar Karagoz (University of Manchester, UK; Mıddle East Technıcal University, Turkey) Industry and Application Session 6 – Load Balancing and Testing (07/02 Tuesday, 9:45-10:45, Portland)

Session Chair: Jun Shen, University of Wollongong, Australia

SPOAN: Load Balancing Replica Placement Strategy for Large Scale Biometric identification Service (BigData2013-4043) Takatoshi Kitano, Leiming Su (NEC, Japan)

Page 50: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

50

Benchmarking Apache Accumulo BigData Distributed Table Store Using Its Continuous Test Suite (BigData2013-4044) Ranjan Sen, Andrew Farris, Peter Guerra (Booz Allen Hamilton, USA) Surveying Systems of Global Climate Change Simulation Data and Access Logs to Them (BigData2013-4045) Toshihiro Nemoto, Masaru Kitsuregawa (University of Tokyo, Japan)

Industry and Application Session 7 – Big Data Algorithm (07/02 Tuesday, 8:30-9:30, GBC)

Session Chair: Li Kuang, Central South University, China

Fast Quasi-Biclique Mining with Giraph (BigData2013-4046) Hsiao-Fei Liu, Chung-Tsai Su, An-Chiang Chu (Trend Micro Inc., Taiwan; National Taiwan University, China) Economical data-intensive service provision supported with a modified genetic algorithm (BigData2013-4047) Lijuan Wang, Jun Shen (University of Wollongong, Australia) Data Mining Approaches for Packaging Yield Prediction in the Post-Fabrication Process (BigData2013-4048) Seung Hwan Park, Cheong-Sool Park, Jun Seok Kim, Sung-Shick Kim, Jun-Geol Baek, Daewoong An (Korea University, Korea; SK Hynix Semiconductor, Korea)

Industry and Application Session 8 – Big Data Querying (07/02 Tuesday, 9:45-10:45; GBE)

Session Chair: Makoto Yui, National Institute of Advanced Industrial Science and Technology, Japan

Distributed SPARQL Query Answering over RDF Data Streams (BigData2013-4049) Marcello Leida, Andrej Chu (Khalifa University, United Arab Emirates) Point and Interval Estimation Method for Auto-Regressive Model with Nonnormal Error (BigData2013-4050) Bo Mi Lim, Cheong-Sool Park, Sung-Shick Kim, Jun-Geol Baek (Korea University Seoul, Korea) Labeling Instances in Evolving Data Streams with MapReduce (BigData2013-4051) Ahsanul Haque, Brandon Parker, Latifur Khan (University of Texas at Dallas, USA)

Industry and Application Session 9 – Big Data Tool (07/02 Tuesday, 9:45-10:45, Seattle)

Session Chair: Kosaku Kimura, Fujitsu Laboratories Ltd.

RSenter: Tool for Topics and Terms Extraction from Unstructured Data Debris (BigData2013-4052) Richard Lomotey, Ralph Deters (University of Saskatchewan, Canada) Service-generated Big Data and Big Data-as-a-Service: An Overview (BigData2013-4053) Zibin Zheng, Zhu Jieming, Michael R. Lyu (The Chinese University of Hong Kong, China)

Work In Progress Tracks WIP Session 1 – Context Awareness Model (07/01 Monday, 8:30-9:30; GBC)

Session Chair: Wuhui Chen, University of Aizu, Japan

Big Data Infrastructure for Active Situation Awareness on Social Network Services (BigData2013-4054) Incheon Paik, Takazumi Tanaka, Hiroki Ohashi, Wuhui Chen (University of Aizu, Japan) Fraud Detection on Large Scale Social Networks (BigData2013-4055) Sylla Yaya, Pierre Morizet-Mahoudeaux (University of Technology of Compiegne, France) Network-aware Web Service Selection in Dynamic Environment (BigData2013-4056) Lei Yu, Zhili Wang, Luoming Meng (Beijing University of Posts and Telecommunications, China) Distributed Processing from Large Scale Sensor Network using Hadoop (BigData2013-4057) Rosangela de Fatima Pereira, Marcelo Risse Andrade, Artur Carvalho Zucchi, Karen Langona, Walter Akio Goya, Nelson Mimura Gonzalez, Tereza Cristina Melo Brito Carvalho, Jan-Erik Mångs, Azimeh Sefidcon (University of São Paulo, Brazil; Ericsson Research, Sweden) Analysis of Technology Trends Based on Big Data (BigData2013-4058) Aviv Segev, Chihoon Jung, Sukhwan Jung (KAIST, Korea) WIP Session 2 – Big Data Trends (07/02 Tuesday, 9:45-10:45; Newport Beach)

Session Chair: Incheon Paik, University of Aizu, Japan

Storage Mining: Where IT Management Meets Big Data Analytics (BigData2013-4059) Yang Song, Gabriel Alatorre, Nagapramod Mandagere, Aameek Singh (IBM T.J. Watson Research, USA) Effective Interpretation of Bucket Testing Results through Big Data Analytics (BigData2013-4060) Ariyam Das, Harish Siddapura Ranganath (Yahoo! Inc., India)

Page 51: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

51

RABID - A General Distributed R Processing Framework Targeting Large Data-Set Problems (BigData2013-

4061) Hao Lin, Shuo Yang, Samuel Midkiff (Purdue University, USA; Huawei, USA) Distributed Stochastic Aware Random Forests - Efficient Data Mining for Big Data (BigData2013-4062) Joaquim Assuncao, Paulo Fernandes, Lucelene Lopes, Silvio Normey (PUCRS University, Brazil) Data for All: A Systems Approach to Accelerate the Path from Data to Insight (BigData2013-4063) Mary Roth, Eser Kandogan, Cheryl Kieliszewski, Bob Schloss, Marc-Thomas Schmidt (IBM Research, USA) WIP Session 3 – Big Data Management (07/01 Monday, 13:30-14:30; GBE)

Session Chair: Zaiwen Feng, Wuhan University, China

The Knowledge Service Project in the Era of Big Data (BigData2013-4064) Dongfeng Cai, Yu Bai, Guiping Zhang, Fang Cai (Shenyang Aerospace University, China; UC Berkeley, USA) Secure Outsourcing of Network Flow Data Analysis (BigData2013-4065) Mohamed Nassar, Bechara AL Bouna, Qutaibah Malluhi (Qatar University, Qatar; Antonine University, Lebanon) Graph Data Warehouse: Steps to Integrating Graph Databases into the Traditional Conceptual Structure of a Data Warehouse (BigData2013-4066) Liu Yunkai, Theresa Vitolo (Gannon University, USA) IP2User – Identifying the username of an IP Address in Network-Related Events (BigData2013-4067)

Asaf Shabtai, Idan Morad, Eyal Kolman, Ereli Eran, Alex Vaystikh, Eyal Gruss, Lior Rokach, Yuval Elovici (Ben-Gurion University of the Negev, Israel; EMC/RSA, Israel)

Cloud Distributed Processing using Trade Wind (BigData2013-4068) Nelson Mimura Gonzalez, Walter Akio Goya, Karen Langona, Rosangela de Fatima Pereira, Marcelo Risse Andrade,

Artur Carvalho Zucchi, Tereza Cristina Melo Brito Carvalho, Jan-Erik Mångs, Azimeh Sefidcon (University of São Paulo, Brazil; Ericsson Research, Sweden)

Page 52: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

52

2013 IEEE Ninth World Congress on Services (SERVICES 2013)

Workshops IEEE 2013 International Workshop on Scientific

Workflows (SWF 2013) Workshop Session 1 (07/02 Tuesday, 8:30-9:30; Santa Barbara)

Session Chair: Liqiang Wang, University of Wyoming, USA

Storing, Indexing and Querying Large Provenance Data Sets as RDF Graphs in Apache HBase (SERVICES2013-

6001) Artem Chebotko, John Abraham, Pearl Brazier, Anthony Piazza, Andrey Kashlev, Shiyong Lu (University of Texas -

Pan American, USA; Piazza Software Consulting, USA; Wayne State University, USA) Towards a Collaborative Simulation Platform for Renewable Energy Systems (SERVICES2013-6002)

Yan Liu, Shuai Lu, Da Meng (Concordia University, Canada) A Dataflow Language for Decentralised Orchestration of Web Service Workflows (SERVICES2013-6003)

Ward Jaradat, Alan Dearle, Adam Barker (University of St Andrews, UK)

Workshop Session 2 (07/02 Tuesday, 9:45-10:45; Santa Barbara)

Session Chair: Mike Wu, Oakland University, USA

A Workflow Framework for Big Data Analytics: Case Study of an Event Recognition in a Building (SERVICES2013-6004)

Chonho Lee, Changbing Chen, Xia Yang, Bong Zoebir, Bu Sung Lee (Nanyang Technological University, Singapore) Bridging VisTrails Scientific Workflow Management System to High Performance Computing (SERVICES2013-

6005) Jia Zhang, Petr Votava, Tsengdar J. Lee, Owen Chu, Clyde Li, David Liu1, Kate Liu, Norman Xin, Ramakrishna

Nemani (Carnegie Mellon University – Silicon Valley, USA; NASA Ames Research Center; NASA Headquarters, USA)

IEEE 2013 International Workshop on the Future of Software Engineering for/in the Cloud (FOSEC 2013)

Workshop Session 1 (06/27 Thursday, 16:10--17:40; Portland)

Session Chair: Michael Sheng, University of Adelaide, Australia

Exploring Cloud Computing for Large-scale Scientific Applications (SERVICES2013-6006) Guang Lin, Jian Yin (Pacific Northwest National Laboratory Richland, USA)

CEEM: A Practical Methodology for Cloud Services Evaluation (SERVICES2013-6007) Zheng Li, Liam O'Brien, He Zhang (ANU and NICTA Canberra, Australia; Geoscience Australia Canberra, Australia;

NICTA and UNSW Sydney, Australia) A Framework for Multi-Cloud Cooperation with Hardware Reconfiguration Support (SERVICES2013-6008)

Khaleel Mershad, Abdul Rahman Kaitoua, Hassan Artail, Mazen Saghir, Hazem Hajj (American University of Beirut, Lebanon; Texas A&M University at Qatar, Qatar) Cloud Based Architecture for Enabling Intuitive Decision Making (SERVICES2013-6009)

Brian Xu, Kumar Sathish, Manonmani Kumar (Honeywell Aerospace, USA; Infosys Technologies Limited, USA; University of Texas – Southwest Medical Center, USA)

IEEE 2013 International Workshop on Security and Privacy Engineering, Assurance, and Certification (SPEAC 2013)

Workshop Session 1 (06/27 Thursday, 10:30-12:00; GBE)

Session Chair: Meiko Jensen, Independent Centre for Privacy Protection Schleswig-Holstein, Germany

Page 53: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

53

Keynote speech: Secure Management of Sensitive Data at Scale (SERVICES2013-6010) Jun Li (HP Labs, USA)

SOBA: A Services-Oriented Browser Architecture with Distributed URL-Filtering Mechanisms for Teenagers (SERVICES2013-6011)

Aili Wang, Wang Chao, Xiaoning Nie, Xuehai Zhou (University of Science and Technology of China) Towards a Forensic-based Service Oriented Architecture Framework for Auditing of Cloud Logs (SERVICES2013-6012)

Sean Thorpe, Tyrone Grandison (University of Technology Kingston, Jamaica; Proficiency Labs Ashland, USA)

Workshop Session 2 (06/27 Thursday, 13:00-14:15; GBE)

Session Chair: Ernesto Damiani, Università degli studi di Milano, Italy

Panel: Service Certification: Perspectives and Application Scenarios (SERVICES2013-6013) Antonio Mana, Meiko Jensen, Michele Bezzi (University of Málaga, Spain; ULD, Germany; SAP, France)

Workflow Operational Assurance for Security-by-Design Certified Service-based Coalitions (SERVICES2013-

6014) Javier Espinar, Antonio Maña, Hristo Koshutanski (University of Málaga, Spain)

Towards the Certification of Cloud Services (SERVICES2013-6015) Stelvio Cimato, Ernesto Damiani, Renato Menicocci, Francesco Zavatarelli (Università degli Studi di Milano, Italy;

Fondazione Ugo Bordoni, Italy)

Workshop Session 3 (06/27 Thursday, 14:30-16:00; GBE)

Session Chair: Michele Bezzi, SAP, France

Bridging the GAP between Software Certification and Trusted Computing for Securing Cloud Computing (SERVICES2013-6016)

Antonio Muñoz, Antonio Maña (Universidad de Málaga, Spain) Managing End-to-End Security Risks with Fuzzy Logic in Service-Oriented Architectures (SERVICES2013-6017)

Youakim Badr, Soumya Banerjee (Université de Lyon, France) Building a Compliance Vocabulary to Embed Security Controls in Cloud SLAs (SERVICES2013-6018)

Matthew Hale, Rose Gamble (University of Tulsa, USA) Bringing Common Criteria Certification to Web Services (SERVICES2013-6019)

Samuel Paul Kaluvuri, Michele Bezzi, Yves Roudier (SAP Labs, France; Eurecom, France)

IEEE SERVICES Workshop on Personalized Web Tasking (PWT 2013)

Workshop Session 1 (06/27 Thursday, 10:30-12:00, GBD)

Session Chair: Hausi Müller, University of Victoria, Canada

Towards Personalized Web-Tasking: Task Simplification Challenges (SERVICES2013-6020) Lorena Castaneda, Villegas Norha, Hausi Müller (University of Victoria, Canada; Icesi University, Colombia)

Towards a Goal Driven Task Personalization Specification Framework (SERVICES2013-6021) George Chatzikonstantinou, Michael Athanasopoulos, Kostas Kontogiannis (National Technical University of Athens, Greece) Going Beyond Web Browsing to Web Tasking (SERVICES2013-6022)

Joanna Ng, Diana Lau (IBM Canada CAS Research, Canada)

Workshop Session 2 (06/27 Thursday, 13:00-14:15, GBD)

Session Chair: Eleni Stroulia, University of Alberta, Canada

Recommendation Assisted Personal Web (SERVICES2013-6023)

Haiming Wang, Kenny Wong (University of Alberta, Canada) Social Ontology and Semantic Actions (SERVICES2013-6024)

Joanna Ng, Diana Lau (IBM Canada CAS Research, Canada) An Intelligent Framework for Auto-filling Web Forms from Different Web Applications (SERVICES2013-6025)

Shaohua Wang, Ying Zou, BipinUpadhyaya, Joanna Ng (Queen’s University, Canada; IBM Toronto Lab, Canada)

Workshop Session 3 (06/27 Thursday, 14:30-16:00, GBD)

Page 54: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

54

Session Chair: Diana Lau, IBM Canada CAS Research, Canada

Using Rules for Web Service Client Side Testing (SERVICES2013-6026)

Nabil El Ioini, Alberto Sillitti, Giancarlo Succi (Free University of Bolzano, Italy) PALTask Chat: A Personalized Automated Context Aware Web Resources Listing Tool (SERVICES2013-6027)

Pratik Jain, Andreas Bergen, Lorena Castaneda, Hausi Müller (University of Victoria, Canada) Towards Families of Personalized Mobile Applications (SERVICES2013-6028)

Eleni Stroulia, Dylan Gibbs, Blerina Bazelli (University of Alberta, Canada) Workshop Session 4 (06/27 Thursday, 16:10-17:40, GBD)

Session Chair: Joanna Ng, IBM Canada CAS Research, Canada

Personalized Mobile Web Service Discovery (SERVICES2013-6029) Khalid Elgazzar, Patrick Martin, Hossam Hassanein (Queen’s University, Canada)

Towards Smarter Task Applications (SERVICES2013-6030) Przemek Lach, Hausi Müller (University of Victoria, Canada)

IEEE 2013 International Workshop on Services Discovery and Composition (SDC 2013)

Workshop Session 1 (06/27 Thursday, 10:30-12:00; Portland)

Session Chair: Bo Hu, Kingdee Research, China

Improving the Interoperability of Digital Certification for Software (SERVICES2013-6031) Marioli Montenegro, Antonio Mana (Universidad de Malaga, Spain)

Parallel Matrix Multiplication Algorithm Based on Vector Linear Combination Using MapReduce (SERVICES2013-6032)

Jianhua Zheng, Liang-Jie Zhang, Rong Zhu, Ke Ning, Dong Liu (Kingdee Research, China)

Adoption of Cloud Computing Services by Public sector Organizations (SERVICES2013-6033) Martin Bellamy (Imperial College, UK)

Workshop Session 2 (06/27 Thursday, 13:00-14:15; Portland)

Session Chair: Melvin Greer, Lockheed Martin, USA

Service Discovery Using Ontology Encoding Enhanced by Similarity of Information Content (SERVICES2013-

6034) Jiuyun Xu, Ruru Zhang, Kunming Xing, Stephan Reiff-Marganiec (China University of Petroleum, China; University of

Leicester, UK) HRPaaS - A Handwriting Recognition Platform as a Service based on Middleware and the HTTP API (SERVICES2013-6035)

Decheng Li, Lianwen Jin, Yin Zhang (South China University of Technology, China) ORBI: An Internet Service for Self-Employed Professionals (SERVICES2013-6036)

Stamatia Rizou, George Angouras (Singular Logic, Germany)

Workshop Session 3 (06/27 Thursday, 14:30-16:00; Portland)

Session Chair: Patrick C.K. Hung, University of Ontario Institute of Technology, Canada

Enhanced Ant Colony Algorithm for Cost-Aware Data-Intensive Service Provision (SERVICES2013-6037) Lijuan Wang, Jun Shen, Ghassan Beydoun (University of Wollongong, Australia)

The New Cloud on the Horizon - Cloud Brokers (SERVICES2013-6038) Melvin Greer (Lockheed Martin, USA)

IEEE 2013 International Workshop on Cloud Security Auditing (CSA 2013)

Workshop Session 1 (06/27 Thursday, 10:30-12:00, Seattle)

Session Chair: Rose Gamble, University of Tulsa

Page 55: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

55

Cloud Verifier: Verifiable Auditing Service for IaaS Clouds (SERVICES2013-6039) Joshua Schiffman, Yuqiong Sun, HayawardhVijayakumar, Trent Jaeger (Penn State University, USA)

QoS Auditing for Evaluation of SLA in Cloud-based Distributed Services (SERVICES2013-6040) Kaliappa Ravindran (The City University of New York, USA)

Toward a Real-Time Cloud Auditing Paradigm (SERVICES2013-6041) Robert Nix, Murat Kantarcioglu, Sachin Shetty (Lipscomb University, USA; University of Texas at Dallas, USA;

Tennessee State University, USA)

Workshop Session 2 (06/27 Thursday, 13:00-14:15, Seattle)

Session Chair: Indrakshi Ray, Colorado State University, USA

Auditing and Analysis of Network Traffic in Cloud Environment (SERVICES2013-6042) Sachin Shetty (Tennessee State University, USA)

Cloud Security Auditing based on Behavioral Modeling (SERVICES2013-6043) Zachary Birnbaum, Bingwei Liu, Andrey Dolgikh, Yu Chen, Victor Skormin (Binghamton University, USA)

Control Theoretic Adaptive Monitoring Tools for the Android Platform (SERVICES2013-6044) David Reynolds, Mina Guirguis (Texas State University, USA)

Workshop Session 3 (07/02 Tuesday, 8:30-9:30; GBE)

Session Chair: Keesook J. Han, Air Force Research Laboratory, USA Data Integrity Evaluation in Cloud Database-as-a-Service (SERVICES2013-6045)

Puya Ghazizadeh, Ravi Mukkamala, Stephan Olariu (Old Dominion University, USA) Auditing CPU Performance in Public Cloud (SERVICES2013-6046)

Qiang Huang, Lin Ye, Xinran Liu, Xiaojiang Du (Harbin Institute of Technology, China; Beijing University of Posts and Telecommunications, China; Temple University, USA) Supporting Privacy and Auditing in Cloud Computing Systems (SERVICES2013-6047)

Tyrone Grandison, Sean Thorpe, Leon Stenneth (Proficiency Labs, USA; University of Technology, Jamaica; University of Illinois, USA) Auditing Requirements for Implementing the Chinese Wall Model in the Service Cloud (SERVICES2013-6048)

Sarra Alqahtani, R Gamble, Indrakshi Ray (University of Tulsa, USA)

IEEE 2013 International Workshop on Formal Methods in Services and Cloud Computing (FMSC 2013)

Workshop Session 1 (07/02 Tuesday, 8:30-9:30, GBC)

Session Chair: Guoray Cai, Penn State University, USA

Towards Formal Modeling and Verification of Cloud Architectures: a Case Study on Hadoop (SERVICES2013-

6049) G SATYA REDDY, Yuzhang Feng, Yang Liu, Jin Song Dong, Sun Jun, Rajaraman Kanagasabai (Oracle India Private

Limited, India; Institute for Infocomm Research, Singapore; Nanyang Technological University, Singapore; National University of Singapore ;Singapore University of Technology and Design) Research of Intrusion Detection System on Android (SERVICES2013-6050)

Fangfang Yuan, Lidong Zhai, Yanan Cao, Li Guo (Chinese Academy of Science, China) A Design and Verification Framework for Service Composition in the Cloud (SERVICES2013-6051)

Matthew Hale, Michael Gamble, R Gamble (University of Tulsa, USA)

Workshop Session 2 (07/02 Tuesday, 9:45-10:45; GBC)

Session Chair: Jianwei Yin, Zhejiang University, China

Efficient Formal Verification in Banking Processes (SERVICES2013-6052) Santone Antonella, Valentina Intilangelo, Domenico Raucci (Universita degli Studi del Sannio, Italy)

A User Requirements Oriented Semantic Web Services Composition Framework (SERVICES2013-6053) Sana Baccar, Mohsen Rouached (National school of Engineers of Sfax, Tunisia; Taif University, Saudi Arabia)

An End-To-End QoS Mapping Approach for Cloud Service Selection (SERVICES2013-6054) RAED KARIM, Chen Ding, Ali Miri (Ryerson University, USA)

Towards DaaS 2.0: Enriching Data Models (SERVICES2013-6055)

Page 56: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

56

Jonathan Martí, Daniel Gasull, Anna Queralt, Toni Cortes (Barcelona Supercomputing Center, Spain; Universitat Politècnica de Catalunya, Spain)

IEEE 2013 International Workshop on Performance Aspects of Cloud and Service Virtualization (CloudPerf

2013) Workshop Session 1 (06/27 Thursday, 10:30-12:00, Newport Beach)

Session Chair: Christophe Cerin, University of Paris XIII, France

Unitizing Performance of IaaS Cloud Deployments (SERVICES2013-6058) Philipp Berndt, Johannes Watzl (Zimory GmbH, Germany)

BIGSIR: A Bipartite Graph Based Service Recommendation Method (SERVICES2013-6059) Bo Jiang, Xiao-xiao Zhang, Weifeng Pan, Bo Hu (Zhejiang University, China; Zhejiang Gongshang University, China;

Wuhan University, China; Kingdee Research, China) RMORM: A Framework of Multi-Objective Optimization Resource Management in Clouds (SERVICES2013-

6060) Wenyun Dai, Haopeng Chen, Wenting Wang, Xi Chen (Shanghai Jiao Tong University, China)

Workshop Session 2 (06/27 Thursday, 13:00-14:15, Newport Beach)

Session Chair: Congfeng Jiang, Hangzhou Dianzi University, China

Analysing Virtual Machine Usage in Cloud Computing (SERVICES2013-6061) Yi Han, Jeffrey Chan, Christopher Leckie (University of Melbourne, Australia)

Impacts of Scheduling Algorithms in Services on Collective End-to-End Execution Time Characteristics of Web Service Workflows (SERVICES2013-6062)

Xiang Li, Yushun Fan, Keman Huang, Le Xin, Yihang Luo (Tsinghua University, China) Introducing a Distributed Cloud Architecture with Efficient Resource Discovery and Optimal Resource Allocation (SERVICES2013-6063)

Praveen Khethavath, Johnson Thomas, Eric Chan-Tin, Hong Liu (Oklahoma State University, USA)

IEEE 2013 SERVICES Workshop on Computational and Hybrid Intelligence for Service Computing (CHIS 2013)

Workshop Session 1 (06/27 Thursday, 16:10-17:40, Seattle) Session Chair: Youakim Badr, INSA-Lyon, France

Adaptive Web Services Composition Using Q-learning in Cloud (SERVICES2013-6064) Lei Yu, Zhili Wang, Lingli Meng, Jiang Wang, Luoming Meng, Xue-song Qiu (Beijing University of Posts and

Telecommunications, China) An Energy-Efficient Online Real-Time Parallel Scheduling For Cloud Data Centers By Minimizing Total Busy Time (SERVICES2013-6065)

Wenhong Tian, Ruini Xue, Jun Cao, Qin Xiong, Yunjun Hu (University of Electronic Science and Technology of China) A Hierarchical Cloud Pricing System (SERVICES2013-6066)

Zhijie Li, Ming Li (Deakin University, Australia)

IEEE 2013 International Workshop on Cloud Provisioning (CP 2013)

Workshop Session 1 (06/27 Thursday, 14:30-16:00; Newport Beach)

Session Chair: Bo Hu, Kingdee Research, China

Research on Pricing Model of Cloud Storage (SERVICES2013-6067) Ning Li, Liang-Jie Zhang, Li Wang, Yifu Guo, Jianhua Zheng (Kingdee Research, China)

Towards Real-Time Analytics in the Cloud (SERVICES2013-6069) Amr Osman, Mohamed El-Refaey, Ayman Elnaggar (German University in Cairo, Germany)

SaaS Authentication Middleware for Mobile Consumers of IaaS Cloud (SERVICES2013-6072)

Page 57: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

57

Richard K.Lomotey, Ralph Deters (University of Saskatchewan, Canada) Workshop Session 2 (06/27 Thursday, 16:10-17:40, Newport Beach)

Session Chair: Jian Wang, Wuhan University, China

A Game Theory of Cloud Service Deployment (SERVICES2013-6070) Zexiang Mao, Jingqi Yang, YanLei Shang, Chuanchang Liu, Junliang Chen (Beijing University of Posts and

Telecommunications, China) Is Your Cloud-Hosted Database Truly Elastic? (SERVICES2013-6071)

Sakr Sherif (NICTA, Australia) Viral Marketing and Its Application in Enterprise Drive Operation (SERVICES2013-6068)

Li Wang, Liang-Jie Zhang, Ning Li, Dong Liu, Yi-Fu Guo, Jian-Hua Zheng, Bo Hu, Ning Ke (Kingdee Research, China; Southeast University, China)

Cloud Cup 07/01 Monday, 8:30-18:00; Sierra

Session Chair: Yuhong Yan, Concordia University, Canada CloudAdvisor: A Recommendation-as-a-Service Platform for Cloud Configuration and Pricing (SERVICES2013-

6073) Gueyoung Jung, Tridib Mukherjee, Shruti Kunde, Hyunjoo Kim, Naveen Sharma, Frank Goetz (Xerox Research Center,

USA) Pattern-Based Deployment Service for Next Generation Clouds (SERVICES2013-6074)

Hongbin Lu, Mark Shtern, Bradley Simmons, Michael Smit, Marin Litoiu (York University, Canada) Enabling an Enhanced Data-as-a-Service Ecosystem (SERVICES2013-6075)

Michael Smit, Mark Shtern, Bradley Simmons, Marin Litoiu (York University, Canada) EC2BargainHunter: It's Easy to Hunt for Cost Savings on Amazon EC2! (SERVICES2013-6076)

Rajaraman Kanagasabai, L e Duy Ngan, Yuzhang Feng, Anitha Veeramani, Joel Koo Chong En, Chan Chee Keong, Flora S Tsai3, Artur Andrzejak (STAR, Singapore; NTU, Singapore; SUTD, Singapore; Heidelberg University, Germany)

Open Access Journals

(To Build The OPEN Services Computing Eco-system) Open Access (OA) is the best practice and publication trend to provide unrestricted access to peer-reviewed scholarly journal articles over the Internet. OA can quickly broadcast research results to the community and get papers cited widely. Yes, OPEN has been the only keyword and motivation of our worldwide Services Computing community since we launched The First International Conference on Web Services (ICWS 2003) and its sister conferences.

International Journal of Cloud Computing (IJCC, ISSN 2326-7550) http://www.hipore.com/ijcc

International Journal of Big Data (IJBD, ISSN 2326-442X) http://www.hipore.com/ijbd Special Issues of extended conference papers will be organized. You are welcome to submit your best research results to IJCC and IJBD. Your citation number matters. And your citations will be dramatically increased through open access over the Internet. As a non-profit professional organization (501(c)3) and the creator of ICWS and its sister conferences (SCC/CLOUD/BigData/MS), Services Society aims to provide leading Internet technologies and platform to promote worldwide research and technical collaboration and accomplishments on Services Computing (SC) among academia and industrial professionals.

Page 58: Cloud Icws Scc Ms Bigdata Services Advanceprogram

IEEE 2013 SERVICES/CLOUD/ICWS/SCC/BigData/MS Silicon Valley, CA, USA

58

Transportation (http://www.marriott.com/hotels/maps/travel/sjcga-santa-clara-marriott) Norman Y Mineta San Jose International Airport - SJC Airport Phone: 1 408 277 4759; Hotel direction: 4 mile (s) S; The hotel does not provide shuttle service. South & East Bay Shuttle (408) 866-6660; fee: $25 (one way); reservation required Estimated taxi fare: $30 (one way) San Francisco International Airport - SFO Airport Phone: 1 650 821 8211; Hotel direction: 30 mile (s) N; The hotel does not provide shuttle service. South & East Bay Shuttle; fee: $69 USD (one way); reservation required Estimated taxi fare: $120 (one way)

Breakfast Place

SERVICES 2014 Congress

(CLOUD/ICWS/SCC/MS)

BigData 2014 Congress

Greater New York, USA June 27, 2014 (Friday) - July 2, 2014 (Wednesday)