文章基本信息

标题：A Load Balancing Algorithm based on the Variation Trend of Entropy in Homogeneous Cluster
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作者：Kehe Wu ; Long Chen ; Shichao Ye 等
期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2014
卷号：7
期号：2
页码：11-20
DOI：10.14257/ijgdc.2014.7.2.02
出版社：SERSC
摘要：In order to solve the problems of ill-balanced task allocation, long response time, low throughput rate and poor performance, which appeared in cluster system, this paper proposes a new load balancing algorithm of homogeneous cluster based on the variation trend of entropy. In this paper, we introduces the thermodynamic concept of entropy into load balancing algorithm and gives a new algorithm, so that we can calculate the entropy of the system to ensure that each scheduling and migration toward the entropy increasing tendency. The result of simulating experiments shows that this algorithm has more obvious advantages compared with traditional algorithms, such as achieving the load balancing status as soon as possible, shorting the task execution time, increasing system performance and so on.
关键词：Entropy; Variation trend; Homogeneous cluster; Load balancing