{"title":"An Effective Selection Method for Scheduling of Gridlets among Heterogeneous Resources with Load Balancing on GridSim","authors":"D. Patel, C. Tripathy","doi":"10.1109/CINE.2017.17","DOIUrl":null,"url":null,"abstract":"Since the GridSim toolkit is used to simulate the Grid computing environment, it has been widely used in the study of Grid. In this paper, the proposed work presents a load balancing scheme called LBLC for GridSim. Here, the load balancing is performed by providing an effective selection method for scheduling of Gridlets among heterogeneous resources with load consideration which maximizes the utilization of the resources and increases the efficiency of the Grid system. The performance is evaluated under various cases by using GridSim. From the simulation results, our load balancing scheme is shown to be quite efficient in maximizing the finished Gridlets and minimizing the execution time, unfinished Gridlets.","PeriodicalId":236972,"journal":{"name":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 3rd International Conference on Computational Intelligence and Networks (CINE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CINE.2017.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Since the GridSim toolkit is used to simulate the Grid computing environment, it has been widely used in the study of Grid. In this paper, the proposed work presents a load balancing scheme called LBLC for GridSim. Here, the load balancing is performed by providing an effective selection method for scheduling of Gridlets among heterogeneous resources with load consideration which maximizes the utilization of the resources and increases the efficiency of the Grid system. The performance is evaluated under various cases by using GridSim. From the simulation results, our load balancing scheme is shown to be quite efficient in maximizing the finished Gridlets and minimizing the execution time, unfinished Gridlets.