Please use this identifier to cite or link to this item: https://doi.org/10.1109/GRID.2004.19
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dc.titleDesign and analysis of a dynamic scheduling strategy with resource estimation for large-scale grid systems
dc.contributor.authorViswanathan, S.
dc.contributor.authorVeeravalli, B.
dc.contributor.authorYu, D.
dc.contributor.authorRobertazzi, T.G.
dc.date.accessioned2014-04-24T08:34:19Z
dc.date.available2014-04-24T08:34:19Z
dc.date.issued2004
dc.identifier.citationViswanathan, S., Veeravalli, B., Yu, D., Robertazzi, T.G. (2004). Design and analysis of a dynamic scheduling strategy with resource estimation for large-scale grid systems. Proceedings - IEEE/ACM International Workshop on Grid Computing : 163-170. ScholarBank@NUS Repository. https://doi.org/10.1109/GRID.2004.19
dc.identifier.isbn0769522564
dc.identifier.issn15505510
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/51137
dc.description.abstractIn this paper, we present a resource conscious dynamic scheduling strategy for handling large volume computationally intensive loads in a Grid system involving multiple sources and sinks /processing nodes. We consider a "pull-based" strategy, wherein the processing nodes request load from the sources. We employ the Incremental Balancing Strategy (IBS) algorithm proposed in the literature and propose a buffer estimation strategy to derive optimal load distribution. Here, we consider non-time critical loads that arrive at arbitrary times with time varying buffer availability at sinks and utilize buffer reclamation techniques so as to schedule the loads. We demonstrate detailed workings of the proposed algorithm with illustrative examples using real-life parameters derived from STAR experiments in BNL for scheduling large volume loads. © 2004 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/GRID.2004.19
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentINSTITUTE FOR COMMUNICATIONS RESEARCH
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/GRID.2004.19
dc.description.sourcetitleProceedings - IEEE/ACM International Workshop on Grid Computing
dc.description.page163-170
dc.identifier.isiut000225415700020
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