Performance Analysis for Joint Scheduling in Cloud Computing towards Energy Enhancement

Authors(1) :-Dr. K. Kavitha

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 709-714
Manuscript Number : CSEIT1726159
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Dr. K. Kavitha, "Performance Analysis for Joint Scheduling in Cloud Computing towards Energy Enhancement ", International 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.
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