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Mathematical Problems in Engineering
Volume 2013 (2013), Article ID 612182, 11 pages
http://dx.doi.org/10.1155/2013/612182
Research Article

B3: Fuzzy-Based Data Center Load Optimization in Cloud Computing

Department of Information Technology, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu 624 622, India

Received 31 December 2012; Revised 24 February 2013; Accepted 25 February 2013

Academic Editor: Ming Li

Copyright © 2013 M. Jaiganesh and A. Vincent Antony Kumar. 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 started a new era in getting variety of information puddles through various internet connections by any connective devices. It provides pay and use method for grasping the services by the clients. Data center is a sophisticated high definition server, which runs applications virtually in cloud computing. It moves the application, services, and data to a large data center. Data center provides more service level, which covers maximum of users. In order to find the overall load efficiency, the utilization service in data center is a definite task. Hence, we propose a novel method to find the efficiency of the data center in cloud computing. The goal is to optimize date center utilization in terms of three big factors—Bandwidth, Memory, and Central Processing Unit (CPU) cycle. We constructed a fuzzy expert system model to obtain maximum Data Center Load Efficiency (DCLE) in cloud computing environments. The advantage of the proposed system lies in DCLE computing. While computing, it allows regular evaluation of services to any number of clients. This approach indicates that the current cloud needs an order of magnitude in data center management to be used in next generation computing.