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A two-phase framework for quality-aware Web service selection

Yu, Qi; Rege, Manjeet; Bouguettaya, Athman; Medjahed, Brahim; Ouzzani, Mourad

Description

Service-oriented computing is gaining momentum as the next technological tool to leverage the huge investments in Web application development. The expected large number of Web services poses a set of new challenges for efficiently accessing these services. We propose an integrated service query framework that facilitates users in accessing their desired services. The framework incorporates a service query model and a two-phase optimization strategy. The query model defines service communities...[Show more]

dc.contributor.authorYu, Qi
dc.contributor.authorRege, Manjeet
dc.contributor.authorBouguettaya, Athman
dc.contributor.authorMedjahed, Brahim
dc.contributor.authorOuzzani, Mourad
dc.date.accessioned2015-12-10T22:32:55Z
dc.identifier.issn1863-2394
dc.identifier.urihttp://hdl.handle.net/1885/55989
dc.description.abstractService-oriented computing is gaining momentum as the next technological tool to leverage the huge investments in Web application development. The expected large number of Web services poses a set of new challenges for efficiently accessing these services. We propose an integrated service query framework that facilitates users in accessing their desired services. The framework incorporates a service query model and a two-phase optimization strategy. The query model defines service communities that are used to organize the large and heterogeneous service space. The service communities allow users to use declarative queries to retrieve their desired services without worrying about the underlying technical details. The two-phase optimization strategy automatically generates feasible service execution plans and selects the plan with the best user-desired quality. In particular, we present an evolutionary algorithm that is able to "co-evolve" multiple feasible execution plans simultaneously and allows them to compete with each other to generate the best plan. We conduct a set of experiments to assess the performance of the proposed algorithms.
dc.publisherSpringer
dc.sourceService Oriented Computing and Applications
dc.subjectKeywords: Gaining momentum; Heterogeneous services; Integrated service; Phase optimization; Quality of web services; Query framework; Query model; Service community; Service execution; Service oriented computing; Service selection; Technical details; Technological Quality of Web service; Service selection; Web service
dc.titleA two-phase framework for quality-aware Web service selection
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume4
dc.date.issued2010
local.identifier.absfor080704 - Information Retrieval and Web Search
local.identifier.ariespublicationU3594520xPUB347
local.type.statusPublished Version
local.contributor.affiliationYu, Qi, Rochester Institute of Technology
local.contributor.affiliationRege, Manjeet, Howard University
local.contributor.affiliationBouguettaya, Athman, College of Engineering and Computer Science, ANU
local.contributor.affiliationMedjahed, Brahim, University of Michigan
local.contributor.affiliationOuzzani, Mourad, Purdue University
local.description.embargo2037-12-31
local.bibliographicCitation.startpage63
local.bibliographicCitation.lastpage79
local.identifier.doi10.1007/s11761-010-0055-6
local.identifier.absseo890301 - Electronic Information Storage and Retrieval Services
dc.date.updated2016-02-24T10:18:10Z
local.identifier.scopusID2-s2.0-77953359061
CollectionsANU Research Publications

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