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dc.contributor.authorChen, M
dc.contributor.authorTan, TH
dc.contributor.authorSun, J
dc.contributor.authorWang, J
dc.contributor.authorLiu, Y
dc.contributor.authorSun, J
dc.contributor.authorDong, JS
dc.date.accessioned2017-10-24T02:31:32Z
dc.date.available2017-10-24T02:31:32Z
dc.date.issued2016
dc.identifier.issn0302-9743
dc.identifier.doi10.1007/978-3-319-47846-3_9
dc.identifier.urihttp://hdl.handle.net/10072/172891
dc.description.abstractWeb service composition makes use of existing Web services to build complex business processes. Non-functional requirements are crucial for the Web service composition. In order to satisfy non-functional requirements when composing a Web service, one needs to rely on the estimated quality of the component services. However, estimation is seldom accurate especially in the dynamic environment. Hence, we propose a framework, ADFlow, to monitor and adapt the workflow of the Web service composition when necessary to maximize its ability to satisfy the non-functional requirements automatically. To reduce the monitoring overhead, ADFlow relies on asynchronous monitoring. ADFlow has been implemented and the evaluation has shown the effectiveness and efficiency of our approach. Given a composite service, ADFlow achieves 25 %–32 % of average improvement in the conformance of non-functional requirements, and only incurs 1 %–3 % of overhead with respect to the execution time.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofpagefrom122
dc.relation.ispartofpageto140
dc.relation.ispartofjournalLecture Notes in Computer Science
dc.relation.ispartofvolume10009 LNCS
dc.subject.fieldofresearchSoftware engineering not elsewhere classified
dc.subject.fieldofresearchcode461299
dc.titleService adaptation with probabilistic partial models
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorDong, Jin-Song


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