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.

JSSTR: A Joint Server Selection and Traffic Routing Algorithm for the Software-Defined Data Center

“…A new probabilistic-based server load balancing method was proposed based on variance analysis by Zhong [17]. In that method, the SDN controller monitors the data traffic of each port, and the variance analysis is executed to analyze this traffic.…”

“…The system selects a server as the destination server based on the calculated selection probability. Zhong et al [17] Variance analysis; Probability-based server selection; Network address translation…”

SAND: Smart and Adaptable Networking Design Using Virtual Slicing over Software-Defined Network

“…For our evaluation, we will introduce three traffic routing systems; First, we will present the Floodlight's default forwarding system as a baseline for our comparison. Next, we will introduce the reactive based load balancing system presented in [5] [9]. Finally we will introduce our smart networking design system that uses virtual slicing to make efficient use of the network.…”

“…From all the links in the successful links set, we will find a path that can support the flow and add that path to the AvailPaths set (Algorithm 3 -Lines (6-7). With that, the last step will be to update the flow entries for the switches within the path to accommodate the changes in the network paths ((Algorithm 3 -Lines (8)(9)(10).…”

Analisando métodos e oportunidades em redes definidas por software (SDN) para otimizações de tráfego de dados

“…Hoje, servidores de balanceamento de carga são usados para satisfazer a demanda de grande volume de dados, porém essa técnica necessita de grande capital de investimento e oferece baixa escalabilidade e flexibilidade. Isso acaba dificultando o suporte a demandas com carga de trabalho altamente dinâmicas [41].…”