Title: Energy-saving algorithm for data centre network based on genetic algorithm

Authors: Shu Yang; Hua Yang; Wen Chai; Zehui Liu

Addresses: State Grid Shanxi Electric Power Research Institute, No. 6, Qingnian Rd, Taiyuan, Shanxi Province, 030000, China ' State Grid Shanxi Electric Power Research Institute, No. 6, Qingnian Rd, Taiyuan, Shanxi Province, 030000, China ' State Grid Shanxi Electric Power Research Institute, No. 6, Qingnian Rd, Taiyuan, Shanxi Province, 030000, China ' State Grid Shanxi Electric Power Research Institute, No. 6, Qingnian Rd, Taiyuan, Shanxi Province, 030000, China

Abstract: This thesis focuses on network equipments in the data centre which has caused rapidly growth of energy consumption recent years. The switches account for the largest proportion of energy consumption of network equipments, so turning off unneeded switches can reduce energy consumption effectively. Based on this point, we develop a high-efficient routing algorithm based on genetic algorithm (GA) in order to improve energy consumption of network equipments. Genetic algorithm is a kind of a heuristic algorithm which solves the optimisation problem rapidly by imitating the way of the natural selection, but to a certain degree, it reduces accuracy. It is a complicated problem to decide routing path in a short period, so we choose genetic algorithm to achieve our goals. In our simulation, we make some improvements of GA in order to fit our problem and raise the accuracy of its solution.

Keywords: data centre network; energy efficient routing; genetic algorithm.

DOI: 10.1504/IJICA.2020.107115

International Journal of Innovative Computing and Applications, 2020 Vol.11 No.2/3, pp.67 - 72

Received: 15 Mar 2019
Accepted: 29 Apr 2019

Published online: 30 Apr 2020 *

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