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Article: A new fuzzy-decision based load balancing system for distributed object computing

TitleA new fuzzy-decision based load balancing system for distributed object computing
Authors
KeywordsDistributed object computing
Fuzzy decision
Java
Jini
Load balancing
Middleware
Remote method invocation
Issue Date2004
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/jpdc
Citation
Journal Of Parallel And Distributed Computing, 2004, v. 64 n. 2, p. 238-253 How to Cite?
AbstractDistributed object computing systems 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. Indeed, enabled by the tremendous advancements in processor and networking technologies, complex operations such as object serialization and data marshaling have become very efficient, and thus, distributed object systems are being built for many different applications. However, as the system scales up (e.g., with larger number of server and client objects, and more machines), a judicious load balancing system is required to efficiently distribute the workload (e.g., the queries, messages/objects passing) among the different servers in the system. Unfortunately, in existing distributed object middleware systems, such a load balancing facility does not exist. In this paper, we present the design and implementation of a new dynamic fuzzy-decision-based load balancing system incorporated in a distributed object computing environment. Our proposed approach works by using a fuzzy logic controller which informs a client object to use the most appropriate service such that load balancing among servers is achieved. We have chosen Jini to build our experimental middleware platform, on which our proposed approach as well as other related techniques are implemented and compared. Extensive experiments are conducted to investigate the effectiveness of our fuzzy-decision-based algorithm, which is found to be consistently better than other approaches. © 2003 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/73508
ISSN
2015 Impact Factor: 1.32
2015 SCImago Journal Rankings: 0.851
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorKwok, YKen_HK
dc.contributor.authorCheung, LSen_HK
dc.date.accessioned2010-09-06T06:52:00Z-
dc.date.available2010-09-06T06:52:00Z-
dc.date.issued2004en_HK
dc.identifier.citationJournal Of Parallel And Distributed Computing, 2004, v. 64 n. 2, p. 238-253en_HK
dc.identifier.issn0743-7315en_HK
dc.identifier.urihttp://hdl.handle.net/10722/73508-
dc.description.abstractDistributed object computing systems 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. Indeed, enabled by the tremendous advancements in processor and networking technologies, complex operations such as object serialization and data marshaling have become very efficient, and thus, distributed object systems are being built for many different applications. However, as the system scales up (e.g., with larger number of server and client objects, and more machines), a judicious load balancing system is required to efficiently distribute the workload (e.g., the queries, messages/objects passing) among the different servers in the system. Unfortunately, in existing distributed object middleware systems, such a load balancing facility does not exist. In this paper, we present the design and implementation of a new dynamic fuzzy-decision-based load balancing system incorporated in a distributed object computing environment. Our proposed approach works by using a fuzzy logic controller which informs a client object to use the most appropriate service such that load balancing among servers is achieved. We have chosen Jini to build our experimental middleware platform, on which our proposed approach as well as other related techniques are implemented and compared. Extensive experiments are conducted to investigate the effectiveness of our fuzzy-decision-based algorithm, which is found to be consistently better than other approaches. © 2003 Elsevier Inc. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/jpdcen_HK
dc.relation.ispartofJournal of Parallel and Distributed Computingen_HK
dc.subjectDistributed object computingen_HK
dc.subjectFuzzy decisionen_HK
dc.subjectJavaen_HK
dc.subjectJinien_HK
dc.subjectLoad balancingen_HK
dc.subjectMiddlewareen_HK
dc.subjectRemote method invocationen_HK
dc.titleA new fuzzy-decision based load balancing system for distributed object computingen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0743-7315&volume=64&spage=238&epage=253&date=2004&atitle=A+New+Fuzzy-Decision+Based+Load+Balancing+System+for+Distributed+Object+Computingen_HK
dc.identifier.emailKwok, YK:ykwok@eee.hku.hken_HK
dc.identifier.authorityKwok, YK=rp00128en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jpdc.2003.11.002en_HK
dc.identifier.scopuseid_2-s2.0-2942616872en_HK
dc.identifier.hkuros91522en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-2942616872&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume64en_HK
dc.identifier.issue2en_HK
dc.identifier.spage238en_HK
dc.identifier.epage253en_HK
dc.identifier.isiWOS:000189084900005-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridKwok, YK=7101857718en_HK
dc.identifier.scopusauthoridCheung, LS=7102302784en_HK
dc.identifier.citeulike3081473-

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