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INCREASING SERVER UTILIZATION AND ACHIEVING GREEN COMPUTING IN CLOUD

M. Rajeswari

Master of Technology, Department of Computer Science & Engineering, Dr. S.J.S Paul Memorial College of Engineering and Technology, Puducherry – 605 502,

M. Savuri Raja

Master of Technology, Department of Computer Science & Engineering, Dr. S.J.S Paul Memorial College of Engineering and Technology, Puducherry – 605 502,

M. Suganthy

Assistant Professor, Department of Computer Science & Engineering, Dr. S.J.S Paul Memorial College of Engineering and Technology, Puducherry – 605 502

1-8

Vol: 4, Issue: 3, 2014

Receiving Date: 2014-05-08 Acceptance Date:

2014-06-06

Publication Date:

2014-07-05

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Abstract

Cloud computing is a usage of very large scalable and virtualized resources in a dynamic way over the internet. Due to the rapid growth of cloud environment usage many tasks require to be executed by the available resources. At the same time it should be possible to achieve better performance, optimizing the servers, reduce migration, support green computing, better resource utilization etc. So resource allocation using virtual machine plays a most important role in cloud environment because it should allocate proper resources to various machines to get maximum benefit.

Keywords: Cloud computing, skewness, Resource Management, Virtualization, Green computing.

References

  1. M. Armbrust et al., “Above the Clouds: A Berkeley View of Cloud Computing,” technical report, Univ. of California, Berkeley, Feb. 2009.
  2. N. Bobroff, A. Kochut, and K. Beaty, “Dynamic placement of virtual machines for managing sla violations,” in Proc. of the IFIP/IEEE International Symposium on Integrated Network Management (IM‟07), 2007.
  3. P. Braham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R.Neugebauer, I. Pratt, and A. Warfield, “Xen and the art of virtualization,” in Proc. of the ACM Symposium on Operating Systems Principles (SOSP‟03), Oct. 2003.
  4. L. Cherkasova, D. Gupta, and A. Vahdat, “When virtual is harder than real: Resource allocation challenges in virtual machine based it environments,” Technical Report HPL 2007-25, February 2007.
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