Resource Management in Cloud Computing and Distributed Computing

Shaquille WilkinsZak Lowman

ContentsI. Introduction

II. Resource Management Systems

III. Architectures

IV. Risk and Concerns

V. Solutions and Techniques

VI. Conclusion

Introduction

•Cloud Computing technology offers a new concept in computing in which a data can be stored, accessed and altered at alternate execution times on various computers that are all synced.

http://2.bp.blogspot.com/_PnGDRmMobXI/TT70yNFldhI/AAAAAAAABEA/X3AZU1Prei0/s640/cloudcomputing-2.jpg

Resource Management Systems•The brain of a cloud. 

•Resource manager:▫Local machines▫Servers▫Scheduling▫Routing controllers

Architectures

•Centralization

•Grid

•Cell Structure

http://www.adarshpatil.com/cloud/Cloud_Thin_Clients_Adarsh.jpg

GRIDTypes • Computational

▫ Numerals

• Data▫ Data warehousing

• Service

Risk and Concerns

•Data Storage – How much data can we store?

•How to allocate the data?

•Will it be fast enough?

•What makes it better?

•What about performance isolation?

Solutions and Techniques

•Hierarchical Scaling▫Focuses on cluster management

RMSs are built on top of each other in order to reach scale

•Flat Scaling▫Focuses on efficiency checks

Configured to have the most output speed possible. Decisions are made using data collected and aggregated over the large number of hosts and VMs

Examples

•NetSuite's OpenAir▫Invoice, employee time sheet, and expense

management. ▫Dashboard feedback.▫Global.

•Citrix▫Desktop, Application and Server support. ▫Centralizes applications in data warehouse.▫On-demand resources.▫Scalability.

http://www.in-sys.com/images/PartnerLogos/Citrix_corporate_logo.jpg

http://topnews.net.nz/images/netsuite-logo.jpg

Conclusion

Cloud computing is one of the fastest growing technologies of our time. With its expansion, it requires modified protocols and techniques to complete more complicated tasks

References• [1] VMware http://labs.vmware.com/publications/cloud- scale• [2] Ajay Gulati, Ganesha Shanmuganathan,

and Anne Holler http://www.usenix.org/event/hotcloud11/tech/final_files/Gulati.pdf

• [3] Cynthia K. Westhttp://wwpi.com/index.php?option=com_co ntent&view=article&id=7576:case-

study- project-and-resource-management-cloud- computing-with-project-insight-&catid=230:cloud- computing&Itemid=2701186

• [4] VMware Distributed Resource Scheduler - Dynamic Resource Balancing, 2011.

• http://vmware.com/products/drs.• [5] VMware Distributed Resource Scheduler - Dynamic Resource Balancing,

2011.• http://vmware.com/products/drs.• [6] Klaus Krauter, Rajkumar Buyya

http://www.buyya.com/papers/gridtaxonomy.pdf• [7] Chee Shin Yeo and Rajkumar Buyya

http://www.buyya.com/papers/txnomy_clusterms.pdf• [8] Ignacio M. Llorente

http://cloudcomputing.sys-con.com/node/856815