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Cloud computing grants business clients to scale up and down their resource usage based on their needs. Many of the touted benefits in the cloud model come from resource multiplexing through virtualization concepts. Dynamic consolidation of virtual machines (VMs) is an effective approach to improve the utilization of resources and energy efficiency in cloud data centers. Finding out when it is best to reallocate VMs from an overfull host is an aspect of dynamic VM consolidation that directly influences the reserve exploitation and quality of service (QoS) delivered by the system In this paper, we introduces VM Migration and optimal precedence, a technique that obviously migrates only the working set of an idle VM and support green computing by optimizing the number of servers in use. We use the maximum precedence algorithm to reduce the trouble in virtual machine. We develop a set of heuristics that put off trouble in the system efficiently while saving energy used.

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V.Manimaran, S.Prabhu, & N.Sengottaiyan. (2015). AN IMPROVED RESOURCE SCHEDULING FOR VIRTUAL MACHINES IN CLOUD DATA CENTERS USING QUALITY OF SERVICE . International Journal of Intellectual Advancements and Research in Engineering Computations, 3(3), 310–317. Retrieved from