Evaluation of Selection Policy with Various Virtual Machine Instances in Dynamic VM Consolidation for Energy Efficient at Cloud Data Centers

Various VM instances in Cloud Infrastructure provide flexibility for user to meet their computation requirements. However, this condition leads to the complex infrastructure that require numerous resources and consumes massive electricity due to the flexibility of VM instances. This paper concern in evaluate VM selection policy in Dynamic VM Consolidation. The study would evaluate our proposed method Constant Position Selection Policy (CPS) that compared with other VM Selection Policy such as Minimum Migration Time (MMT),Random Choice(RC) and Maximum Correlation (MC).Evaluation process of this study, measured the performance of Energy Consumption, SLAV, SLATAH, and PDMwith real workload trace data from PlanetLab VMs in various VM instances. Result the proposed method able to minimizing energy consumption of cloud data center in various VM instances with acceptable SLA.