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A performance-based approach to dynamic workload distribution for master-slave applications on grid environments

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dc.citation.epage82en_US
dc.citation.spage73en_US
dc.citation.volume3947en_US
dc.contributor.authorShih, WCen_US
dc.contributor.authorYang, CTen_US
dc.contributor.authorTseng, SSen_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.date.accessioned2014-12-08T15:17:39Z
dc.date.available2014-12-08T15:17:39Z
dc.date.issued2006en_US
dc.description.abstractEffective workload distribution techniques can significantly reduce the total completion time of a program on and computing environments. In this paper, we propose a dynamic performance-based workload partition approach for master-slave types of applications on grids. Furthermore, we implement two types of applications and conduct the experimentations on our grid testbed. Experimental results showed that our method could execute more efficiently than traditional schemes.en_US
dc.identifier.isbn3-540-33809-8en_US
dc.identifier.issn0302-9743en_US
dc.identifier.journalADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGSen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/12806
dc.identifier.wosnumberWOS:000237540300008
dc.language.isoen_USen_US
dc.subjectworkload distributionen_US
dc.subjectmaster-slave paradigmen_US
dc.subjectgrid computingen_US
dc.subjectparallel loop schedulingen_US
dc.subjectdata miningen_US
dc.subjectGlobusen_US
dc.subjectNWSen_US
dc.titleA performance-based approach to dynamic workload distribution for master-slave applications on grid environmentsen_US
dc.typeArticle; Proceedings Paperen_US

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