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Title: A comparison study of various Virtual Machine consolidation algorithms in cloud datacenter
Authors: Arockia Ranjini A., Arun Sahayadhas
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2017
Volume: 12
Issue: 1
Language: English
Today modern service oriented computing have to need to enlarge a virtualized datacenters. Quality of service has been the sole concern in cloud data center deployment. This demand will increase the high operational cost and carbon dioxide emissions. Virtualization technology support Virtual Machine consolidation and migration. This is improving the server utilization, availability, fault tolerance and energy efficient. Therefore we need a Virtual Machine consolidation for energy efficient with quality of service. The main objective of this study to compare various Virtual Machine consolidation algorithms for Service Level Agreement, total power consumption, 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 used real-world work load traces of Planet lab VMs.
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