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A
SYNOPSIS ON
ANALYTICAL STUDY OF THE FUTURE OF CLOUDANALYTICAL STUDY OF THE FUTURE OF CLOUD
AS SERVICE FOR INDIAN TELECOM INDUSTRYAS SERVICE FOR INDIAN TELECOM INDUSTRY
UNDER SUPERVISION OF:
..
SUBMITTED BY
NAME : MANAS RANJAN SAHU
ENROLLMENT NO :
Submitted in partial fulfillment of the requirements for qualifying
MASTER OF BUSINESS ADMINISTRATION (IT)
Institute of management technology
Ghaziabad1
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ANALYTICAL STUDY OF THE FUTURE OF CLOUDANALYTICAL STUDY OF THE FUTURE OF CLOUD
AS SERVICE FOR INDIAN TELECOM INDUSTRYAS SERVICE FOR INDIAN TELECOM INDUSTRY
Submitted By:
Name :
Enrollment No. :
Area of Specialization :
Title of the Project : Analytical Study of the future of Cloud as service
For India Telecom Industry
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TABLE OF CONTENTS
CONTENTS PAGE NO.
1. Title of the project..4
2. Statement about the Problem.....5
3. Objective of the study........7
4. Research Methodology ......8
5. Company profile ..............10
6. Questionnaire.....11
7. References ....14
8. Chapterisation ...16
9. Profile of Project Guide.17
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1. TITLE OF THE PROJECT
ANALYTICAL STUDY OF THE FUTURE OF CLOUD
AS SERVICE FOR INDIAN TELECOM INDUSTRY
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2. STATEMENT OF THE PROBLEM
This study will help in establishing cloud is being transformed to a model consisting of
services that are commoditized and delivered in a manner similar to traditional utilities
such as water, electricity, gas, and telephony. In such a model, users access services based
on their requirements without regard to where the services are hosted or how they are
delivered.
Cloud is a type of parallel and distributed system consisting of a collection of inter-
connected and virtualized computers that are dynamically provisioned and presented as
one or more unified computing resources based on service-level agreement established
through negotiation between the service provider and consumer. The study will help to
introduce cloud as service for Indian Telecom industry. For companies considering cloud
and find out the ROI of investing and developing the Cloud based Solution. This research
project will implement cloud as an application uploaded on the server for different or each
Telecom company. While the telecommunications arent quite at the point of viewing
telecom industry as a commodity service, the potential cost saving that could be gleaned
from the creation of a shared.
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3. OBJECTIVES OF THE STUDY
Fixing the objective is like identifying the star. The objective decides where we want to
go, what we want to achieve and what is our goal or destination.
Every study is carried out for the achievement of certain objectives.
1. To Study the benefit of cloud computing in Telecom industry.
2. To study the cloud architecture as an application.
3. To find the affect and future of cloud based application for the Telecommunication
industry.
4. To study about Indian Telecom Industry is ready to accept the cloud as service for its
daily usage.
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4.RESEARCH METHODOLOGY
Research methodology in a way is a written game plan for conducting research. Research
methodology has many dimensions. It includes not only the research methods but also
considers the logic behind the methods used in the context of the study and complains
why only a particular method of technique has been used. The basic task of research is to
generate accurate information for use in decision making. Research can be defined as the
systematic and objective process of gathering, recording and analyzing data for aid in
making business decisions.
METHODOLOGY ADOPTED:- This research is aimed at studying the future of cloud
as service for Indian Telecom industry.
RESEARCH DESIGN:- The research design used in this study was both Descriptive
and exploratory.
DATA COLLECTION METHODS:
The data will be collected using both by primary data collection methods as well as
secondary sources.
PRIMARY DATA: Most of the information will be gathered through primary sources.
The methods that will be used to collect primary data are:
a) Questionnaire
b) Interview
SECONDARY DATA:Secondary data that will be used are web sites and publishedmaterials related to cloud services as well as any relevant information on cloud services
for Telecom industry.
The secondary data was collected through:
Text Books
Magazines
Journals
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Websites
SAMPLING TECHNIQUE:-
The technique used for conducting the study will Convenience Sampling Technique as
sample of respondents was chosen according to convenience.
STASTICAL TOOLS:
MS-EXCEL will use to prepare pie- charts and graphs and MS-WORD will use to prepare
or write the whole project report.
METHOD USE TO PRESENT DATA:
Data Analysis & Interpretation Classification & tabulation transforms the raw data
collected through questionnaire in to useful information by organizing and compiling the
bits of data contained in each questionnaire i.e., observation and responses are converted
in to understandable and orderly statistics are used to organize and analyze the data:
Simple tabulation of data using tally marks.
Calculating the percentage of the responses.
Formula used = (name of responses / total responses) * 100
Graphical analysis by means of pie charts bar graphs etc.
NUMBER OF RESPONDENTS
Total samples of 50-75 respondents will contact who responded to the questionnaires.
AREA OF STUDY
Cloud computing
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5. COMPANY PROFILE
The Aricent Group is a global innovation and technology services company that helps
clients to imagine, commercialize, and evolve products and services for the
connected world. Bringing together the deep communication technology expertise
of Aricent with the creative vision and user experience prowess of design firm frog,
the Aricent Group provides a unique portfolio of innovation capabilities that
seamlessly combines consumer insights, strategy, design, software engineering, and
systems integration. Our breadth of capabilities and depth of expertise allows clients
to imagine and develop differentiated user experiences and leading-edge products,
while at the same time accelerating time-to-market, optimizing operations, and
reducing overall product development expenses. The Aricent Group employs more
than 10,000 consultants, designers, and engineers at 36 locations worldwide. The
company's roster of clients includes Alcatel-Lucent, Cisco, Disney, GE, HP,
Vodafone, and many others. The client base spans the entire telecommunications
ecosystem (service providers, equipment manufacturers, independent software
vendors, and device makers) as well as Fortune 500 brands that are innovating in
connectivity-enabled industries such as healthcare, energy, finance, retail, and
media. The Aricent Group's investors are Kohlberg Kravis Roberts & Co., Sequoia
Capital, The Family Office, Delta Partners, and The Canadian Pension Plan
Investment Board.
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6. QUESTIONNAIRE
Dear Respondents,
I am ., a student ofMBA, as a part of my curriculum; I am to take a
research Project on ANALYTICAL STUDY OF THE FUTURE OF CLOUD AS
SERVICE FOR INDIAN TELEOCM INDUSTRY. To enable to undertake above
mentioned study, I request you to give your fair views. Your insights and perspective are
important and valuable for my research.
Policy on Confidentiality: Please feel free to give your honest responses. The
confidentiality of the information provided by the respondent is completely assured.
Name :
Age :
Gender : Male Female
Education :
Organization :
Designation :
No of years in the organization :
Q.1 What is Cloud Computing replacing?
Corporate data centers
Expensive personal computer hardware
Expensive software upgrades
All of the above
Q2. What is the most suitable cloud model for Telecom Industry?
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Private Public Other
Q3. Do you know the type of cloud services available for Telecom industry?
SaaS PaaS Other
Q4. Do you think that the cloud computing services, in terms of IT
services/Applications, are considered good for Telecom industry?
Yes No cans say
Q5. Would you be willing to outsource to multiple providers?
Yes No Other (please specify)
Q6. Which IT services/Applications supporting Telecom processes are most likely to
be outsourced to a Cloud computing service provider?Payroll
Human Resources
Procurements
CRM/Sales Management
Accounting and Finance
Project management
Application development on the cloud
Anonymised data analysis
Other (please specify)
Q7. Do you think that availability of services and or data is main concerns
telecommunications approach to cloud computing?
Yes No
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Q8 Do you think that Confidentiality of corporate data and Lack of liability of
providers in case of security incidents is main concern approach to cloud
computing?
Yes No
Q8. Do you satisfied with benefits of cloud as service in Indian Telecom industry?
Yes No
Q9. Do you feel that cloud is not an expensive service which is used by different
telecommunication companies in India?
Yes No
Q10. Do you think that Telecom Industry is ready to accept the cloud as service for
its daily usage?
Yes No
Q 11. What are the reasons behind your possible engagement in the Cloud
computing area?
Remove economic/expertise barriers impeding to modernize business processes
by the introduction of Information Technology
Avoiding capital expenditure in hardware, software, IT support, Information
Security by outsourcing infrastructure/platforms/services
Flexibility and scalability of IT resources
Increasing computing capacity and business performance
Diversification of IT systems
Local and global optimization of IT infrastructure through automated management
of virtual machines
Business Continuity and Disaster recovery capabilities
Assessing the feasibility and profitability of new services (i.e. by developing
business cases into the Cloud)Adding redundancy to increase availability and resilience
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Controlling marginal profit and marginal costs
Other (please specify)
Q12. Telecommunicates feel that cloud makes their work very easy?
Yes No
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7. REFERENCES
[1] L. Kleinrock, A vision for the Internet, ST Journal of Research 2 (1) (2005) 4 5.
[2] S. London, Inside Track: The high-tech rebels, Financial Times 6 (2002).
[3] I. Foster, C. Kesselman (Eds.), The Grid: Blueprint for a Future Computing
Infrastructure, Morgan Kaufmann, San Francisco, USA, 1999.
[4] D.S. Milojicic, V. Kalogeraki, R. Lukose, K. Nagaraja, J. Pruyne, B. Richard, S.
Rollins, Z. Xu, Peer-to-peer computing, Technical Report HPL-2002-57R1, HP
Laboratories, Palo Alto, USA, 3 July 2003.
[5] A. Weiss, Computing in the Clouds, netWorker 11 (4) (2007) 16 25.
Twenty experts define cloud computing. http://cloudcomputing.sys-con.com/read/612375_p.htm(18.07.08).
[6] C. Jin, R. Buyya, MapReduce programming model for .NET-based distributed
computing, Technical Report GRIDS-TR-2008-15, Grid Computing and Dis-tributed
Systems Laboratory, The University of Melbourne, Australia, 17 Oct. 2008.
Hadoop, Hadoop applications. http://wiki.apache.org/hadoop/PoweredBy (6.11.08).
[7] B. Maggs, Global internet content delivery, in: Proc. 1st IEEE/ACM Int. Symposium
on Cluster Computing and the Grid, CCGrid 2001, Brisbane, Australia, May 2001.
[8] V.N. Padmanabhan, K. Sripanidkulchai, The case for cooperative networking, in:
Proceedings of the 1st International Workshop on Peer-To-Peer Systems, in: Lecture
Notes In Computer Science, vol. 2429, Springer-Verlag, London, 2002, pp. 178 190.
[9] J. Broberg, S. Venugopal, R. Buyya, Market-oriented grids and utility computing: The
state-of-the-art and future directions, Journal of Grid Computing 6 (3) (2008) 255 276.
[10] K.H. Kim, R. Buyya, J. Kim, Power aware scheduling of bag-of-tasks applications
with deadline constraints on DVS-enabled clusters, in: Proc. 7th IEEE Int.
Symposium on Cluster Computing and the Grid, CCGrid 2007, Rio de Janeiro, Brazil,
May 2007.
[11] R. Buyya, C.S. Yeo, S. Venugopal, Market-oriented cloud computing: Vision,
hype, and reality for delivering IT services as computing utilities, in: Proc. 10th IEEE
Int. Conference on High Performance Computing and Communications, HPCC 2008,
Dalian, China, Sept. 2008.
[12] Ericsson Business Review, Cloud Computing in Telecommunications, Issue 1
2010http://www.ericsson.com/res/thecompany/docs/publications/ericsson_review/201
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http://cloudcomputing.sys-con.com/read/612375_p.htmhttp://cloudcomputing.sys-con.com/read/612375_p.htmhttp://cloudcomputing.sys-con.com/read/612375_p.htmhttp://cloudcomputing.sys-con.com/read/612375_p.htmhttp://wiki.apache.org/hadoop/PoweredByhttp://cloudcomputing.sys-con.com/read/612375_p.htmhttp://cloudcomputing.sys-con.com/read/612375_p.htmhttp://wiki.apache.org/hadoop/PoweredByhttp://cloudcomputing.sys-con.com/read/612375_p.htm -
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0/cloudcomputing.pdf
[13] Ericsson Cloud Connectivity: Offense and Defense Presentation, 2010
http://www.ewh.ieee.org/r6/scv/comsoc/Workshop_071410_CloudConnectivity. pdf
Ericsson CMO Arun Bhikshesvaran: Helping Operators Capitalize on the Cloud,
October 2011 http://www.ericsson.com/news/111004_helping_operators_
capitalize_on_the_cloud_244188808_c?idx=10
Ericsson ConsumerLab research: From Apps to Everyday Situations, 2011
http://www.ericsson.com/res/docs/2011/silicon_valley_brochure_letter.pdf
IHS, Wireless Service Providers Look to the Cloud to Regain Profits Press Release,
October 2011 http://press.ihs.com/press-release/design-supply-chain/wireless - service-
providers- look-cloudregain-profits.
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http://www.ericsson.com/news/111004_helping_operators_http://www.ericsson.com/res/docs/2011/silicon_valley_brochure_letter.pdfhttp://press.ihs.com/press-release/design-supply-chain/wireless%20-%20service-providers-http://press.ihs.com/press-release/design-supply-chain/wireless%20-%20service-providers-http://www.ericsson.com/news/111004_helping_operators_http://www.ericsson.com/res/docs/2011/silicon_valley_brochure_letter.pdfhttp://press.ihs.com/press-release/design-supply-chain/wireless%20-%20service-providers-http://press.ihs.com/press-release/design-supply-chain/wireless%20-%20service-providers- -
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10. CHAPTER SCHEME
Detailed/final project report will include the following chapters;
1. Introduction
2. Objective and scope of study
3. Methodology (Details of methodology used in studying and collecting the data and
issue will be described)
4. Descriptive work (Descriptive work on the topic, this chapter will include analysis and
interpretation of data tabulation and categorization)
5. Study report (Study report of other researcher will be observed and analyzed)
6. Conclusion
7. Findings
8. Limitations
9. Recommendation
10. Bibliography
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9.PROFILE OF PROJECT GUIDE
Name :
Age :
Educational Qualification :
Professional Experience :
Organization :
Current Designation :
Brief Profile :
(Maximum 200 Characters)
Address :
House No. :
Street :
City :
State :
Country :
Phone Number (Office) :
Phone Number (Residence) :
Mobile Number (10 digits) :
Email :
**********
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