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Abstract
Green computing is a recent trend towards designing, building, and operating computer systems to be energy efficient. Data centers are intensive consumers of energy both to power the computers and to provide the necessary cooling. Moreover, cloud providers have magnified the problem by building increased numbers of energy hungry data. Virtual machine (VM) consolidation is an effective way to improve the utilization of resources and increase energy efficiency in cloud data centers. Most of current researches mi»grate VMs based on CPU utilization only for host overload detection. In this thesis we propose enhancement of VM consolidation using multiple factors regression host overload detection algorithm and normalization techniques