Paper Info
Title
An Efficient SDN Load Balancing Scheme Based on Variance Analysis for Massive Mobile Users.
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.
Year
DOI
Venue
2015
10.1155/2015/241732
MOBILE INFORMATION SYSTEMS
Field
DocType
Volume
Control theory,Network Load Balancing Services,Computer science,Load balancing (computing),Workload,Selection algorithm,Computer network,Probabilistic method,OpenFlow,Distributed computing,Scalability
Journal
2015
ISSN
Citations 
PageRank 
1574-017X
1
0.39
References 
Authors
12
5
Name
Order
Citations
PageRank
Hong Zhong19018.46
qunfeng lin210.39
jie cui3133.79
runhua shi4259.65
Lu Liu513425.39