An Effective Selection Method for Scheduling of Gridlets among Heterogeneous Resources with Load Balancing on GridSim

D. Patel, C. Tripathy
{"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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于GridSim负载均衡的异构资源调度小网格的有效选择方法
由于GridSim工具包用于模拟网格计算环境,因此在网格研究中得到了广泛的应用。在本文中,提出了一种名为LBLC的GridSim负载平衡方案。其中,负载均衡是通过在考虑负载的情况下,为异构资源间的网格调度提供一种有效的选择方法来实现的,使资源利用率最大化,提高网格系统的效率。利用GridSim对各种情况下的性能进行了评估。仿真结果表明,我们的负载均衡方案在最大化完成的Gridlets和最小化未完成Gridlets的执行时间方面是非常有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Building Occupancy Detection Using Feed Forward Back-Propagation Neural Networks Stock Prediction Using Functional Link Artificial Neural Network (FLANN) Symmetric Axis Based Off-Line Odia Handwritten Character and Numeral Recognition Artificial Intelligence Techniques Used to Detect Object and Face in an Image: A Review Application of JAYA Algorithm to Tune Fuzzy-PIDF Controller for Automatic Generation Control
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1