Service-oriented Application Composition with Evolutionary Heuristics and Multiple Criteria

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dc.contributor.authorZo, Hangjungko
dc.contributor.authorNazareth, Derek L.ko
dc.contributor.authorJain, Hemant K.ko
dc.date.accessioned2020-01-14T02:20:11Z-
dc.date.available2020-01-14T02:20:11Z-
dc.date.created2020-01-14-
dc.date.issued2019-11-
dc.identifier.citationACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS, v.10, no.3, pp.10-
dc.identifier.issn2158-656X-
dc.identifier.urihttp://hdl.handle.net/10203/271151-
dc.description.abstractThe need to create and deploy business application systems rapidly has sparked interest in using web services to compose them. When creating mission-critical business applications through web service compositions, in addition to ensuring that functional requirements are met, designers need to consider the end-to-end reliability, security, performance, and overall cost of the application. As the number of available coarse-grain business services grows, the problem of selecting appropriate services quickly becomes combinatorially explosive for realistic-sized business applications. This article develops a business-process-driven approach for composing service-oriented applications. We use a combination of weights to explore the entire QoS criteria landscape through the use of a multi-criteria genetic algorithm (GA) to identify a Pareto-optimal multidimensional frontier that permits managers to trade off conflicting objectives when selecting a set of services. We illustrate the effectiveness of the approach by applying it to a real-world drop-ship business application and compare its performance to another GA-based approach for service composition.-
dc.languageEnglish-
dc.publisherASSOC COMPUTING MACHINERY-
dc.titleService-oriented Application Composition with Evolutionary Heuristics and Multiple Criteria-
dc.typeArticle-
dc.identifier.scopusid2-s2.0-85075618130-
dc.type.rimsART-
dc.citation.volume10-
dc.citation.issue3-
dc.citation.beginningpage10-
dc.citation.publicationnameACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS-
dc.identifier.doi10.1145/3354288-
dc.contributor.localauthorZo, Hangjung-
dc.contributor.nonIdAuthorNazareth, Derek L.-
dc.contributor.nonIdAuthorJain, Hemant K.-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorService-oriented applications-
dc.subject.keywordAuthormultiple criteria decision making-
dc.subject.keywordPlusIMPROVED GENETIC ALGORITHM-
dc.subject.keywordPlusWEB SERVICES-
dc.subject.keywordPlusQOS-
dc.subject.keywordPlusQUALITY-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusSELECTION-
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