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Conference Paper: Toward scalable statistical service selection

TitleToward scalable statistical service selection
Authors
KeywordsService composition
Statistical approach
Service selection
Issue Date2008
PublisherIEEE
Citation
Proceedings Of The 4Th Ieee International Symposium On Service-Oriented System Engineering, Sose 2008, 2008, p. 166-171 How to Cite?
AbstractSelecting quality services over the Internet is tedious because it requires looking up of potential services, and yet the qualities of these services may evolve with time. Existing techniques have not studied the contextual effect of service composition with a view to selecting better member services to lower such overhead. In this paper, we propose a new dynamic service selection technique based on perceived successful invocations of individual services. We associate every service with an average perceived failure rate, and select a service into a candidate pool for a service consumer inversely proportional to such averages. The service consumer further selects a service from the candidate pool according to the relative chances of perceived successful counts based on its local invocation history. A member service will also receive the perception of failed or successful invocations to maintain its perceived failure rate. The experimental results show that our proposal significantly outperforms (in terms of service failure rates) a technique which only uses consumer-side information for service selection. © 2008 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/54694
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorMei, Len_HK
dc.contributor.authorChan, WKen_HK
dc.contributor.authorTse, THen_HK
dc.date.accessioned2009-06-15T03:27:41Z-
dc.date.available2009-06-15T03:27:41Z-
dc.date.issued2008en_HK
dc.identifier.citationProceedings Of The 4Th Ieee International Symposium On Service-Oriented System Engineering, Sose 2008, 2008, p. 166-171en_HK
dc.identifier.isbn978-0-7695-3499-2-
dc.identifier.urihttp://hdl.handle.net/10722/54694-
dc.description.abstractSelecting quality services over the Internet is tedious because it requires looking up of potential services, and yet the qualities of these services may evolve with time. Existing techniques have not studied the contextual effect of service composition with a view to selecting better member services to lower such overhead. In this paper, we propose a new dynamic service selection technique based on perceived successful invocations of individual services. We associate every service with an average perceived failure rate, and select a service into a candidate pool for a service consumer inversely proportional to such averages. The service consumer further selects a service from the candidate pool according to the relative chances of perceived successful counts based on its local invocation history. A member service will also receive the perception of failed or successful invocations to maintain its perceived failure rate. The experimental results show that our proposal significantly outperforms (in terms of service failure rates) a technique which only uses consumer-side information for service selection. © 2008 IEEE.en_HK
dc.description.sponsorshipGeneral Research Fund of the Research Council of Hong Kong (project numbers 111107, 717308, and 717506)en
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofProceedings of the 4th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2008en_HK
dc.rightsCopyright 2008 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 sale 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.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectService compositionen
dc.subjectStatistical approachen
dc.subjectService selectionen
dc.titleToward scalable statistical service selectionen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&isbn=978-0-7695-3499-2&spage=166&epage=171&date=2008&atitle=Toward+Scalable+Statistical+Service+Selection-
dc.identifier.emailTse, TH: thtse@cs.hku.hken_HK
dc.identifier.authorityTse, TH=rp00546en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/SOSE.2008.22en_HK
dc.identifier.scopuseid_2-s2.0-62249097027en_HK
dc.identifier.hkuros150388-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-62249097027&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage166en_HK
dc.identifier.epage171en_HK
dc.identifier.scopusauthoridMei, L=25825333600en_HK
dc.identifier.scopusauthoridChan, WK=23967779900en_HK
dc.identifier.scopusauthoridTse, TH=7005496974en_HK

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