ENERGY EFFICIENT VIRTUAL MACHINE ASSIGNMENT BASED ON ENERGY CONSUMPTION AND RESOURCE UTILIZATION IN CLOUD NETWORK
Journal: International Journal of Computer Engineering and Technology (IJCET) (Vol.7, No. 1)Publication Date: 2016-02-23
Authors : M. DHANALAKSHMI; ANIRBAN BASU;
Page : 45-53
Keywords : VMs (Virtual Machines); Green Cloud Computing; VM Classification; Iaeme Publication; IAEME; Research; Engineering; IJARET;
Abstract
Cloud Computing is an internet based computing which makes and different types of services available to users. For customers based on their required services over the internet virtualized resources are provided. The fast growth of cloud resources with customers demand increases the energy consumption results in carbon dioxide emission. However, energy consumption and carbon dioxide emission in cloud data centre have massive impact on global environment triggering intense research in this area. To minimize the energy consumption in this paper we propose VM Assignment scheduling algorithm, it is based energy consumption and balancing the resource utilization. we consider both the VM and host energy consumption and classify the VMs based the resource usage and schedule them to balance the resources utilization among the hosts in the cloud data centre which leads to better energy efficiency and reduces the heat generation. The effectiveness of the proposed technique has been verified by simulating on CloudSim. Experimental results confirm that the technique proposed here can significantly reduce energy consumption in cloud.
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Last modified: 2016-05-23 17:11:48