Evolutionary computing based QoS oriented energy efficient VM consolidation scheme for large scale cloud data centers using random work load bench
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Abstract
In order to assess the performance of an approach, it is unavoidable to
inspect the performance with distinct datasets with diverse characteristics. In
this paper we had assessed the system performance with random workbench
datasets. A-GA (Adaptive Genetic Algorithm) based consolidation technique
has been compared with other consolidation techniques including dynamic
CPU utilization techniques, VM (Virtual Machine) selection and placement
policies. The proposed consolidation system had exhibited better results
in terms of energy conservation, minimal Service Level Agreement (SLA)
violation and Quality of Service (QoS) assurance