AN EXPERIMENT BASED EXAMINATION OF ENERGY OVERHEAD THROUGH VM MIGRATION
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Abstract
Abstract: The use of cloud computing has increased in recent days with tremendous benefits to users and also provoked to rise in total ownership cost due to swift increase in energy consumption of data centers. Out of various approaches, best of virtual machine placement policies can be exploited to reduce the energy consumption during migration in data centers. The virtual machine live migration during placement has enough potential to reduce energy consumption with certain level of utilization. One of the mechanisms to achieve energy efficiency is to manage the migration time parameter of live migration with appropriate network bandwidth in communication aware connected data centers. In spite of this, virtual machine size and network bandwidth have a great impact on energy consumption of sub systems during virtual machine live migration. To follow this study, in this paper, analysis has been made to see the impact of migration time on energy consumption of sub systems during guest virtual machine live migration. For experimentation, Kernel-based Virtual Machine (KVM) hypervisor and Virt Manager was used to perform live migration on Ubuntu 14.04 Linux machines in various conditions. Afterwards, the noted observations are validated with Pearson’s Correlation Coefficient statistical approach to study the strength of relationship of defined parameters.
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