Research on cloud computing load balancing based on information entropy

被引：3
|
作者：
Liu, Kun [1 ,2 ]
Xu, Gaochao [1 ]
Zhao, Haiyan [2 ]
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
来源：
JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING | 2016年 / 16卷 / 01期
关键词：
Cloud computing; virtual machine; load balancing; information entropy;
D O I：
10.3233/JCM-160608
中图分类号：
T [工业技术];
学科分类号：
08 ;
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.
引用
收藏
页码：135 / 143
页数：9
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