Please use this identifier to cite or link to this item: https://doi.org/10.1109/CCGRID.2006.2
DC FieldValue
dc.titleA co-ordinate based resource allocation strategy for grid environments
dc.contributor.authorTat, B.K.B.
dc.contributor.authorVeeravalli, B.
dc.contributor.authorHung, T.
dc.contributor.authorWee, S.S.C.
dc.date.accessioned2014-06-19T02:52:59Z
dc.date.available2014-06-19T02:52:59Z
dc.date.issued2006
dc.identifier.citationTat, B.K.B.,Veeravalli, B.,Hung, T.,Wee, S.S.C. (2006). A co-ordinate based resource allocation strategy for grid environments. Sixth IEEE International Symposium on Cluster Computing and the Grid, 2006. CCGRID 06 : 561-567. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/CCGRID.2006.2" target="_blank">https://doi.org/10.1109/CCGRID.2006.2</a>
dc.identifier.isbn0769525857
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/68767
dc.description.abstractIn this paper, we propose a novel resource scheduling strategy, referred to as the Multi-Resource Scheduling (MRS) algorithm, which is capable of handling several resources to be used among jobs that arrive at a Grid Computing Environment. We propose a model in which the job and resource characteristics are captured together and are used in the scheduling strategy. To do so, we introduce the concept of virtual map and resource potential. Based on the proposed model, simulations with realistic workload traces were conducted to quantify the performance. We compare our strategy with some of the commonly used algorithms, and show that MRS renders a higher performance in all cases. Our experimental results clearly show that MRS outperforms other strategies and we highlight the impact and importance of our strategy. © 2006 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CCGRID.2006.2
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/CCGRID.2006.2
dc.description.sourcetitleSixth IEEE International Symposium on Cluster Computing and the Grid, 2006. CCGRID 06
dc.description.page561-567
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

9
checked on Nov 24, 2021

Page view(s)

101
checked on Nov 18, 2021

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.