Performance Analysis for Joint Scheduling in Cloud Computing towards Energy Enhancement

Authors

  • Dr. K. Kavitha  Assistant Professor, Department of Computer Science, Mother Teresa Women’s University, Kodaikanal, Tamil Nadu, India

Keywords:

Joint scheduling and computation offloading, Multi-tenant distributed simulation environment, Resource augmentation environments, Virtual machines.

Abstract

Multi-tenant disseminated Simulation environment services offers progressive product advancement in Cloud computing. Joint Scheduling and Computation is a mandate mechanism for enhancing the performance in Cloud environment. The basic prototype of the two resource augmentation environments is to provide computation resources to user systems. Thus, the method of offloading a task onto the local private cloud involves only the energy consumption at the time of transferring data. On the other hand, offloading onto the public clouds involves: incurring energy consumption and monetary cost. This approach adds the service tenants to matched virtual machines and allocates the virtual machines to physical host machines using a best-fit heuristic approach. The Performance analysis determines the effectiveness of best-fit heuristic approach by allocating virtual machines to hosts by utilizing their capacity.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-12-31

Issue

Volume 2, Issue 6, November-December-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. K. Kavitha, " Performance Analysis for Joint Scheduling in Cloud Computing towards Energy Enhancement , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.709-714, November-December-2017.