Minimizing the Energy Consumption of Cloud Computing Data Centers Using Queueing Theory

The servers utilize a major proportion of the energy utilized in the cloud-based companies. Through this paper, we are proposing a group of methodologies and approaches via which it would be possible to attain an energy conservation of more than 80 % of the total energy consumed by the cluster. We are using an integrated mechanism in between the servers and the jobs, consisting of combination of optimization approaches: beginning from ant colony optimization in the cloud cluster to bee colony optimization in load balancing to queueing theory in solving different job arrival patterns and some intermediate optimization algorithms like PowerNap and more. We have designed this approach without degrading the quality of service of the datacenters/clusters.