文章基本信息

标题：TASK SCHEDULING ALGORITHM BASED ON HYBRID PARTICLE SWARM OPTIMIZATION IN CLOUD COMPUTING ENVIRONMENT
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作者：GOMATHI B ; KARTHIKEYAN KRISHNASAMY
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：55
期号：1
出版社：Journal of Theoretical and Applied
摘要：Cloud computing environment can offer dynamic and elastic virtual resources to the end users on demand basis. Task scheduling should satisfy the dynamic requirements of users and also need to utilize the virtual resources efficiently in cloud environment, so that task scheduling in cloud is an NP-Complete problem. In this paper, we present a Hybrid Particle Swarm Optimization (HPSO) based scheduling heuristic to balance the load across the entire system while trying to minimize the makespan of a given task sets. Finally, experimentation results show that hybrid PSO is more effective as compared to using existing simple PSO algorithm.
关键词：Task scheduling; Particle Swarm Optimization; Cloud computing; Makespan; Resource Utilization