Optimal Energy aware Dynamic Virtual Machine consolidation in Cloud Data Centers

Cloud computing has become successful in provisioning of different types hosted services through internet. In order to provide Quality of Service(QoS), all the cloud service providers were looking to ensure availability of resources all the time. This will have direct impact on power consumption of physical hosts in data centers and CO2 emissions. VM consolidation is a one of the most useful solution to reduce energy consumption in cloud computing. However truculent VM consolidation leads increase in SLA violations for which cloud service provider need to bear some penalty as per the agreement with the clients. So there is a great need of efficient algorithms which can show a better trade-off between energy consumption and SLA violations. In this paper, we propose Optimal Energy aware Dynamic Virtual Machine consolidation by using new VM Selection Policy (MCSSD), which is Maximum Correlation of Sum of Squares of ordinary least squares regression.the experimental results shows that better trade-off between energy consumption and SLA violations.