Abstract
AbstractWith the increasing deployment of large-scale virtualized datacenters, using virtual machine (VM) migration technology to consolidate VMs is becoming very important for improving the efficiency of data center. The primary prerequisite for VM consolidation is to determine the best candidate VM for migration, and the most previous work targets only on optimizing single objective in VM selection. In this paper, we first propose a multi-objective optimization model based on detailed analysis of the impact of CPU temperature, resource usage and power consumption in VM selection. We then develop a VM selection algorithm to optimize the synthesized effect of VM migration, which will ultimately improve the system performance of physical machines (PMs). We further evaluate our algorithm by comprehensive experiments based on VM monitor Xen, and the results show that it can achieve the best tradeoffs among the resource usage, CPU temperature and power consumption of data center.KeywordsVM MigrationVM SelectionMulti-objectiveData Center
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