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Mobile Information Systems
Volume 2015, Article ID 241732, 9 pages
http://dx.doi.org/10.1155/2015/241732
Research Article

An Efficient SDN Load Balancing Scheme Based on Variance Analysis for Massive Mobile Users

1School of Computer Science and Technology, Anhui University, Hefei 230039, China
2Department of Computing and Mathematics, University of Derby, Kedleston Road, Derby DE22 1GB, UK

Received 10 October 2015; Accepted 6 December 2015

Academic Editor: Mianxiong Dong

Copyright © 2015 Hong Zhong 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

In a traditional network, server load balancing is used to satisfy the demand for high data volumes. The technique requires large capital investment while offering poor scalability and flexibility, which difficultly supports highly dynamic workload demands from massive mobile users. To solve these problems, this paper analyses the principle of software-defined networking (SDN) and presents a new probabilistic method of load balancing based on variance analysis. The method can be used to dynamically manage traffic flows for supporting massive mobile users in SDN networks. The paper proposes a solution using the OpenFlow virtual switching technology instead of the traditional hardware switching technology. A SDN controller monitors data traffic of each port by means of variance analysis and provides a probability-based selection algorithm to redirect traffic dynamically with the OpenFlow technology. Compared with the existing load balancing methods which were designed to support traditional networks, this solution has lower cost, higher reliability, and greater scalability which satisfy the needs of mobile users.