文章基本信息

标题：Enhanced Genetic Algorithm Based Load Balancing in Grid
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作者：Sandip Kumar Goyal ; Manpreet Singh
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：3
出版社：IJCSI Press
摘要：Load Balancing (LB) has been an increasingly important issue for handling computational intensive task in a grid system. By developing strategies that can schedule such tasks to resources in a way that balance out the load, the total processing time will be reduced with improved resource utilization. In this paper, an Enhanced Genetic Algorithm (EGA) is proposed for achieving task scheduling with load balancing. The simulation results show that proposed algorithm yields better performance when compared with other traditional heuristic approaches.
关键词：Load Balancing; Task Scheduling; Genetic Algorithm; Grid.