文章基本信息

标题：Optimization of Resource Allocation in Computational Grids
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作者：Debashreet Das ; Rashmita Pradhan ; C.R.Tripathy 等
期刊名称：International Journal of Grid Computing & Applications
印刷版ISSN：2229-3949
电子版ISSN：0976-9404
出版年度：2015
卷号：6
期号：1/2
页码：37
DOI：10.5121/ijgca.2015.6204
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The resource allocation in Grid computing system needs to be scalable, reliable and smart. It should alsobe adaptable to change its allocation mechanism depending upon the environment and user’s requirements.Therefore, a scalable and optimized approach for resource allocation where the system can adapt itself tothe changing environment and the fluctuating resources is essentially needed. In this paper, a TeachingLearning based optimization approach for resource allocation in Computational Grids is proposed. Theproposed algorithm is found to outperform the existing ones in terms of execution time and cost. Thealgorithm is simulated using GRIDSIM and the simulation results are presented.
关键词：Teaching-Learning Based Optimization (TLBO); Resource allocation; PSO; ACO