A Comparison Study of Various Virtual Machine Consolidation Algorithms in Cloud Datacenter

نویسندگان

  • Arockia Ranjini
  • Arun Sahayadhas
چکیده

Nowadays service oriented computing requires enlarging the virtualized datacenters. Quality of service has been the sole concern in cloud datacenter deployment. This demand will increase the operational cost and carbon dioxide emissions. Virtualization technology support Virtual Machine consolidation and migration. This will improve the server utilization, availability, fault tolerance and energy efficiency. Therefore, we need a Virtual Machine consolidation for energy efficiency with quality of service. The main objective of this study to compare various Virtual Machine consolidation algorithms for Service Level Agreement(SLA), total power consumption and number of VM migrations. We have used CloudSim toolkit to simulate our experiment and to evaluate the performance of the various Virtual Machine (VM) consolidation algorithm. We have also used real-world work load traces of Planet lab VMs.

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تاریخ انتشار 2017