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Performance Analysis for Joint Scheduling in Cloud Computing towards Energy Enhancement

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  • K. Kavitha

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.

Suggested Citation

  • K. Kavitha, 2017. "Performance Analysis for Joint Scheduling in Cloud Computing towards Energy Enhancement," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(6), pages 709-714, December.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i6:id:hcseit1726159
    Note: Article URL: https://ijsrcseit.com/CSEIT1726159
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