文献类型：期刊文献

英文题名：Research on cloud computing load balancing based on information entropy

作者：Liu, Kun[1,2];Xu, Gaochao[1];Zhao, Haiyan[2]

第一作者：刘琨;Liu, Kun

通讯作者：Liu, K[1]

机构：[1]Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China;[2]Beijing Union Univ, Coll Appl Sci & Technol, Beijing 102200, Peoples R China

第一机构：Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China

通讯机构：[1]corresponding author), Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Jilin, Peoples R China.

年份：2016

卷号：16

期号：1

起止页码：135-143

外文期刊名：JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING

收录：EI(收录号：20174104241744);Scopus(收录号：2-s2.0-85030465303);WOS:【ESCI(收录号:WOS:000386115900012)】；

基金：The study is subsidized by Funding Project for Academic Human Resources Development in Beijing Union University, Funding Project of Competence Development Program for Beijing VET Teachers, and Course construction of Higher Vocational Education of Beijing Union University.

语种：英文

外文关键词：Cloud computing; virtual machine; load balancing; information entropy

摘要：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.