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