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Conference Paper: A quantitative comparison of load balancing approaches in distributed object computing systems

TitleA quantitative comparison of load balancing approaches in distributed object computing systems
Authors
KeywordsDistributed object computing
Fuzzy decision
Java
JavaSpaces
Jini
Load balancing
Issue Date2001
PublisherIEEE, Computer Society.
Citation
Proceedings - Ieee Computer Society's International Computer Software And Applications Conference, 2001, p. 257-262 How to Cite?
AbstractSeveral load balancing schemes are recently proposed for distributed object computing systems, which are widely envisioned to be the desired distributed software development paradigm due to the higher modularity and the capability of handling machine and operating system heterogeneity. However, while the rationales and mechanisms employed are dramatically different, the relative strengths and weaknesses of these approaches are unknown, making it difficult for a practitioner to choose an appropriate approach for the problem at hand. In this paper, we describe in detail three representative approaches, which are all practicable, and present a quantitative comparison using our experimental distributed object computing platform. Among these three approaches, namely, JavaSpaces based, request redirection based, and fuzzy decision based, we find that the fuzzy decision based algorithm outperforms the other two considerably.
Persistent Identifierhttp://hdl.handle.net/10722/46284
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorCheung, LSen_HK
dc.contributor.authorKwok, YKen_HK
dc.date.accessioned2007-10-30T06:46:28Z-
dc.date.available2007-10-30T06:46:28Z-
dc.date.issued2001en_HK
dc.identifier.citationProceedings - Ieee Computer Society's International Computer Software And Applications Conference, 2001, p. 257-262en_HK
dc.identifier.issn0730-3157en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46284-
dc.description.abstractSeveral load balancing schemes are recently proposed for distributed object computing systems, which are widely envisioned to be the desired distributed software development paradigm due to the higher modularity and the capability of handling machine and operating system heterogeneity. However, while the rationales and mechanisms employed are dramatically different, the relative strengths and weaknesses of these approaches are unknown, making it difficult for a practitioner to choose an appropriate approach for the problem at hand. In this paper, we describe in detail three representative approaches, which are all practicable, and present a quantitative comparison using our experimental distributed object computing platform. Among these three approaches, namely, JavaSpaces based, request redirection based, and fuzzy decision based, we find that the fuzzy decision based algorithm outperforms the other two considerably.en_HK
dc.format.extent604419 bytes-
dc.format.extent1850 bytes-
dc.format.extent10776 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE, Computer Society.en_HK
dc.relation.ispartofProceedings - IEEE Computer Society's International Computer Software and Applications Conferenceen_HK
dc.rights©2001 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.subjectDistributed object computingen_HK
dc.subjectFuzzy decisionen_HK
dc.subjectJavaen_HK
dc.subjectJavaSpacesen_HK
dc.subjectJinien_HK
dc.subjectLoad balancingen_HK
dc.titleA quantitative comparison of load balancing approaches in distributed object computing systemsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0730-3157&volume=&spage=257&epage=262&date=2001&atitle=A+quantitative+comparison+of+load+balancing+approaches+in+distributed+object+computing+systemsen_HK
dc.identifier.emailKwok, YK:ykwok@eee.hku.hken_HK
dc.identifier.authorityKwok, YK=rp00128en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/CMPSAC.2001.960625en_HK
dc.identifier.scopuseid_2-s2.0-0035161225en_HK
dc.identifier.hkuros67380-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035161225&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage257en_HK
dc.identifier.epage262en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridCheung, LS=7102302784en_HK
dc.identifier.scopusauthoridKwok, YK=7101857718en_HK
dc.identifier.issnl0730-3157-

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