Designing a Virtual Machine Placement Algorithm to Enhance Energy Efficiency in a Cloud Environment

Abstract

One of the most popular technologies of the present generation is Cloud Computing. Cloud data center operating costs are very high because they consume a large amount of electrical energy. Many kinds of research have been worked on Virtual Machine (VM) consolidations to optimize energy consumption in cloud environments. Energy efficiency is one of the major issues of a big data center, because the data center consumes a lot of energy to run and serve its clients. VM consolidation techniques are the best utilization of cloud data center resources and improvements to energy efficiency in the cloud environment. The time complexity VM placement of the existing algorithm is O(n*m), where n denotes the number of active physical hosts and m denotes the number of the selected VMs. Now, the time complexity VM placement of the proposed algorithm is O(n), where n denotes the number of active physical hosts. Our proposed system is saving on average 12% of energy from the existing systems. This energy efficiency is extremely useful in cloud data centers.