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.

Highlights

  • IntroductionTechniques for load balancing are of significant importance

  • In considering network overhead, techniques for load balancing are of significant importance

  • A Software-defined networking (SDN) load balancing scheme based on variance analysis is proposed for supporting dynamic workloads from massive mobile users by using the advantage of the separation of SDN control layer and data layer

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Summary

Introduction

Techniques for load balancing are of significant importance. To alleviate heavy-traffic network flux and reduce the risk that a single server will become the main overhead contributor, many data centers adopt dedicated hardware methods to enable load balancing in order to support a large number of users [2, 3]. Software-defined networking (SDN) as a type of computer networking provides a simple, convenient, maneuverable network flow control method with a minimal investment so as to reduce cost and increase benefit for massive mobile users. It controls data transport by means of software implementation of switches. The flow control system will theoretically make it possible to define an algorithm to balance the network load

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