Title: Load balancing selection method for heterogeneous power communication equipment based on software defined network

Authors: Yingjie Jiang; Chao Ma; Qiusheng Yu; Youxiang Zhu; Lei Liu

Addresses: Information Telecommunications Company, State Grid Shandong Electric Power Company, Jinan 250001, China ' Information Telecommunications Company, State Grid Shandong Electric Power Company, Jinan 250001, China ' Information Telecommunications Company, State Grid Shandong Electric Power Company, Jinan 250001, China ' Information Telecommunications Company, State Grid Shandong Electric Power Company, Jinan 250001, China ' Information Telecommunications Company, State Grid Shandong Electric Power Company, Jinan 250001, China

Abstract: In order to overcome the problem of poor load balance of power heterogeneous communication equipment, this paper proposes a software defined network (SDN)-based load balance selection method for power heterogeneous communication equipment, which divides the architecture into three levels: application, control and infrastructure. This paper introduces the load balance structure of distributed and centralised integration, and uses the centralised control of wireless access point to realise the unified control of communication equipment terminal access. Taking the minimum mean square error of load rate and the minimum total number of resources occupied as the objective function, the genetic algorithm is introduced to solve the optimal solution of the objective function, real business and network connection relevance, so as to obtain the load of power heterogeneous communication equipment. The experimental results show that the total time-consuming is about 9 s, and the average blocking rate is 0.04.

Keywords: software defined network; SDN; power; heterogeneous; communication equipment; load balancing.

DOI: 10.1504/IJICT.2021.117538

International Journal of Information and Communication Technology, 2021 Vol.19 No.3, pp.326 - 341

Received: 20 Mar 2020
Accepted: 20 Apr 2020

Published online: 13 Sep 2021 *

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