TRAFFIC-AWARE ENERGY EFFICIENT VM MIGRATIONS
Inderjit Singh Dhanoa, Pankaj Bhambri · Journal of Critical Reviews · 2020
Cloud computing is the evolving field with new generation technologies to provide state-of-theart services to customers and organizations situated worldwide. The data centers in the network of servers are the backbone of the Cloud computing environment with a huge capacity of processing and data storage. Nowadays, data centers are in the limelight for consuming the large amount of energy to support cloud computing services throughout the world. Although several techniques have been implemented till now to minimize the energy wastage and network cost in data centres, however, optimization of designed policies is still very much required. Virtualization approach is used to consolidate the server workload for utilization of computing resources. In this paper, the evolutionary algorithm is used with VM migrations during placement for energy optimization alongside minimization of traffic overhead cost. Thereafter, scalability and performance test was conducted to check the flexibility of the algorithm. In addition to this, analysis was carried out to verify the impact of VM migrations on Quality of Service with specific parameters computed in prior study.