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The Scientific World Journal
Volume 2016, Article ID 9328070, 13 pages
http://dx.doi.org/10.1155/2016/9328070
Research Article

Energy Conservation Using Dynamic Voltage Frequency Scaling for Computational Cloud

1Sathyabama University, Chennai 600 119, India
2St. Joseph’s Institute of Technology, Chennai 600 119, India
3St. Joseph’s College of Engineering, Chennai 600 119, India
4Zoho Corporation, Chennai, India

Received 14 October 2015; Accepted 17 February 2016

Academic Editor: Juha Plosila

Copyright © 2016 A. Paulin Florence et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Cloud computing is a new technology which supports resource sharing on a “Pay as you go” basis around the world. It provides various services such as SaaS, IaaS, and PaaS. Computation is a part of IaaS and the entire computational requests are to be served efficiently with optimal power utilization in the cloud. Recently, various algorithms are developed to reduce power consumption and even Dynamic Voltage and Frequency Scaling (DVFS) scheme is also used in this perspective. In this paper we have devised methodology which analyzes the behavior of the given cloud request and identifies the associated type of algorithm. Once the type of algorithm is identified, using their asymptotic notations, its time complexity is calculated. Using best fit strategy the appropriate host is identified and the incoming job is allocated to the victimized host. Using the measured time complexity the required clock frequency of the host is measured. According to that CPU frequency is scaled up or down using DVFS scheme, enabling energy to be saved up to 55% of total Watts consumption.