Process Model for Cloud Service Engineering

Abstract

Cloud computing is a model for on-demand and convenient network access to a shared pool of computing resources that can be easily used and provide services with the minimal management effort. Cloud engineering is a discipline for the systematic and scientifically development of the good and economic cloud that focus on providing cloud services to requested users. In order to create the economical and good quality cloud, the structure of cloud engineering is important. This structure consists of four components: Base, Cloud development life cycle (CDLC), Tools and Techniques, Management. Cloud Development life cycle (CDLC) is one of the important component of structure which has iterated life cycle model for development, deployment and delivery of cloud. CDLC has six phases which is flexible, simple in nature and having feedback to first phase. These phases are organized in a linear order and processed in an isolated manner. This paper discusses each phase of CDLC in detail one by one.

References

• Kayleigh Bateman, “Community cloud computing benefits and drawbacks”, http://searchvirtualdatacentre. techtarget.co.uk/news/1510117/Community-cloud-Benefits-and-drawbacks, April 2010
• Michael glas and paul Andres; “An Oracle white paper in enterprise architecture- achieving the cloud computing vision”, CA-U.S.A, Oct 2010.
• Harjit Singh Lamba and Gurdev Singh, “Cloud Computing-Future Framework for e-management of NGO's”, IJoAT, ISSN 0976-4860, Vol 2, No 3, Department Of Computer Science, Eternal University, Baru Sahib, HP, India, July 2011.
• Dr. Gurdev Singh, Shanu Sood, Amit Sharma, “CM- Measurement Facets for Cloud Performance”, IJCA, Volume 23 No.3, Lecturer, Computer science & Engineering, Eternal University, Baru Sahib (India), June 2011
• Joachim Schaper, “Cloud Services”, 4th IEEE International Conference on DEST, Germany, 2010
• Gurdev Singh, Gaurav Garg, Prince Jain, Harmandeep Singh, “The structure of cloud engineering”, International Journal of Computer Applications 33(8):44-49, New York, USA, Nov 2011
• 2011, VMware vCloud Requirements for a Cloud- Technical white paper, version 1.6, Inc 3401, Hillview Ave Palo Alto, CA 94304.
• Prof. Dr. Andreas Polze, 7 Dec 2009, A Comparative Analysis of Cloud Computing Environments, Operating Systems and Middleware, Hasso-Plattner-Institute for Software Engineering, University of Postdam, Germany.
• Derrick Kondo1, Bahman Javadi, Paul Malecot, Franck Cappello, David P Anderson, “Cost-Benefit Analysis of Cloud Computing versus Desktop Grids”, INRIA, France, UC Berkeley, USA.
• Dr. Gerald Kaefer, May 2010, Cloud Computing Architecture, Siemens AG, Corporate Technology, Global Technology Field System Architecture and Platforms, Germany.
• Liladhar R. Rewatkar, Ujwal A. Lanjewar, June 2010, Implementation of Cloud Computing on Web Application”, International Journal of Computer Applications, Volume 2 – No.8, Zulekha College of Commerce, Science and Technology, RTM, Nagpur University, Nagpur, INDIA.
• Bo Peng, Bin Cui and Xiaoming Li, IEEE 2009, Implementation Issues of A Cloud Computing Platform, Department of Computer Science and Technology, Peking University.
• Five Integration Tips to Cloud Computing Success, http://www.jitterbit.com/News/Press_Room/cloud-computing-integration-tips-041509.php
• Introducing Synopsys Cloud Computing Solution, http://www.synopsys.com/Solutions/cloudcomputing/Pages/default.aspx, 2011
• Dustin Amrhein, “Five Ways Cloud Computing Strengthens IT”, http://cloudcomputing.ulitzer.com/ node/920982, April 2009.

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