文章基本信息

标题：HYBRID OPTIMIZATION FOR GRID SCHEDULING USING GENETIC ALGORITHM WITH LOCAL SEARCH
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作者：B.RADHA ; Dr. V.SUMATHY
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：58
期号：3
出版社：Journal of Theoretical and Applied
摘要：With network technology development, Grid Computing satisfies the demand of scientific community�s computing power. Grid facilitates global computing infrastructure for user to utilize the services over the network. A robust multi-objective scheduling algorithm is required to optimize workflow grid execution. Scheduling is a research area in Grid computing. Grid scheduling�s objective is to deliver Quality of Service (QoS) to grid users and raise resource use. Three conflicting objectives like execution time (makespan), total cost and reliability are considered in this investigation. A Genetic Algorithm (GA) including an Ant Colony Optimization (ACO) to schedule grids is proposed in this investigation. The proposed GA with local search proves its effectiveness in Grid Scheduling.
关键词：Grid Computing; Grid scheduling; Genetic Algorithm (GA); Ant Colony Optimization (ACO)