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Conference Paper: Chemical reaction optimization for the grid scheduling problem

TitleChemical reaction optimization for the grid scheduling problem
Authors
KeywordsChemical reaction optimization
Grid computing
Scheduling
Issue Date2010
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104
Citation
The IEEE International Conference on Communications (ICC) 2010, Cape Town, South Africa, 23-27 May 2010. In Proceedings of the IEEE ICC, 2010, p. 1-5 How to Cite?
AbstractGrid computing collects geographically dispersed resources ranging from laptops to supercomputers to compute tasks requested by clients. Grid scheduling, i.e., assigning tasks to resources, is an NP-hard problem, and thus, metaheuristic methods are employed to find the optimal solutions. In this paper, we propose a Chemical Reaction Optimization (CRO) algorithm for the grid scheduling problem. CRO is a population-based metaheuristics mimicking the interactions between molecules in a chemical reaction. We compare the CRO approach with four generally acknowledged metaheuristics, and show that CRO performs the best. ©2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/126208
ISSN
2023 SCImago Journal Rankings: 0.861
References

 

DC FieldValueLanguage
dc.contributor.authorXu, Jen_HK
dc.contributor.authorLam, AYSen_HK
dc.contributor.authorLi, VOKen_HK
dc.date.accessioned2010-10-31T12:15:39Z-
dc.date.available2010-10-31T12:15:39Z-
dc.date.issued2010en_HK
dc.identifier.citationThe IEEE International Conference on Communications (ICC) 2010, Cape Town, South Africa, 23-27 May 2010. In Proceedings of the IEEE ICC, 2010, p. 1-5en_HK
dc.identifier.issn0536-1486en_HK
dc.identifier.urihttp://hdl.handle.net/10722/126208-
dc.description.abstractGrid computing collects geographically dispersed resources ranging from laptops to supercomputers to compute tasks requested by clients. Grid scheduling, i.e., assigning tasks to resources, is an NP-hard problem, and thus, metaheuristic methods are employed to find the optimal solutions. In this paper, we propose a Chemical Reaction Optimization (CRO) algorithm for the grid scheduling problem. CRO is a population-based metaheuristics mimicking the interactions between molecules in a chemical reaction. We compare the CRO approach with four generally acknowledged metaheuristics, and show that CRO performs the best. ©2010 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104-
dc.relation.ispartofProceedings of the IEEE International Conference on Communicationsen_HK
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectChemical reaction optimizationen_HK
dc.subjectGrid computingen_HK
dc.subjectSchedulingen_HK
dc.titleChemical reaction optimization for the grid scheduling problemen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1550-3607&volume=&spage=1&epage=5&date=2010&atitle=Chemical+reaction+optimization+for+the+grid+scheduling+problem-
dc.identifier.emailLi, VOK:vli@eee.hku.hken_HK
dc.identifier.authorityLi, VOK=rp00150en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICC.2010.5502406en_HK
dc.identifier.scopuseid_2-s2.0-77955346266en_HK
dc.identifier.hkuros181404en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77955346266&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1-
dc.identifier.epage5-
dc.description.otherThe IEEE International Conference on Communications (ICC) 2010, Cape Town, South Africa, 23-27 May 2010. In Proceedings of the IEEE ICC, 2010, p. 1-5-
dc.identifier.scopusauthoridXu, J=36242579700en_HK
dc.identifier.scopusauthoridLam, AYS=35322184700en_HK
dc.identifier.scopusauthoridLi, VOK=7202621685en_HK
dc.identifier.issnl0536-1486-

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