Research on cloud computing load balancing based on information entropy

Article type: Research Article

Authors: Liu, Kun^{a; b; *} | Xu, Gaochao^a | Zhao, Haiyan^b

Affiliations: [a] College of Computer Science and Technology, Jilin University, Changchun, Jilin, China | [b] College of Applied Science and Technology, Beijing Union University, Beijing, China

Correspondence: [*] Corresponding author: Kun Liu, College of Computer Science and Technology, Jilin University, Changchun, Jilin 130012, China; College of Applied Science and Technology, Beijing Union University, Beijing 102200, China. Tel.: +86 13581683162; E-mail:wtliukun@buu.edu.cn

Abstract: This article is designed to solve the problem of load balancing in cloud computing. Virtual machine migration is a way of resolving load balancing. This study firstly analyzes load selecting, load gathering, source virtual machine selecting and ect in detail. The most important research is the target machine selecting and a selecting algorithm is proposed based on information entropy. Experimental results reveal that the algorithm can not only achieve load balancing but also improve the performance of the system.

Keywords: Cloud computing, virtual machine, load balancing, information entropy

DOI: 10.3233/JCM-160608

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 16, no. 1, pp. 135-143, 2016