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：2016
卷号：7
期号：1
页码：7
DOI：10.5121/ijgca.2016.7102
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Grid computing is an accumulation of heterogeneous, dynamic resources from multiple administrativeareas which are geographically distributed that can be utilized to reach a mutual end. Development ofresource provisioning-based scheduling in large-scale distributed environments like grid computing bringsin new requirement challenges that are not being believed in traditional distributed computingenvironments. Computational grid is applying the resources of many systems in a network to a single problemat the same time. Grid scheduling is the method by which work specified by some means is assigned to theresources that complete the work in the environment which cannot fulfill the user requirements considerably.The satisfaction of users while providing the resources might increase the beneficiary level of resourcesuppliers. Resource scheduling has to satisfy the multiple constraints specified by the user. The option ofresource with the satisfaction of multiple constraints is the most tedious process. This trouble is solved bybringing out the particle swarm optimization based heuristic scheduling algorithm which attempts to selectthe most suitable resource from the set of available resources. The primary parameters that are taken inthis work for selecting the most suitable resource are the makespan and cost. The experimental resultshows that the proposed method yields optimal scheduling with the atonement of all user requirements.
