A Load Balancing Method Based on Genetic Clonal Annealing Strategy in Grid Environments

摘要：

Load balancing is a very important and complex problem in grid computing. Grid computing differs from traditional high performance computing systems in the heterogeneity of the computing nodes and communication links, as well as background workloads that may be present in the computing nodes. This paper combined with the advantages of genetic algorithm, clonal selection algorithm and simulated annealing, brings forward a genetic clonal annealing algorithm and applied to solve grid computing task scheduling problem. From the analysis and experiment result, it is concluded that this algorithm is superior to genetic algorithm and simulated annealing.

关键词： grid computing genetic algorithm simulated annealing clonal selection algorithm

作者: Zhang Wenpeng Liu Hongzhao

作者单位: Deparment of Software Nanyang Normal University Nanyang, China Physics & Electronic Engineering College Nanyang Normal University Nanyang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Educational and Network Technology(2010教育与网络技术国际会议 ICENT 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 549-552

在线出版日期: 2010-06-25（万方平台首次上网日期，不代表论文的发表时间）