A recommender mechanism for service selection in service-oriented environments

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dc.contributor.author Tserpes, K en
dc.contributor.author Aisopos, F en
dc.contributor.author Kyriazis, D en
dc.contributor.author Varvarigou, T en
dc.date.accessioned 2014-03-01T02:53:32Z
dc.date.available 2014-03-01T02:53:32Z
dc.date.issued 2012 en
dc.identifier.issn 0167739X en
dc.identifier.uri http://hdl.handle.net/123456789/36401
dc.subject Quality of experience en
dc.subject Recommender systems en
dc.subject Service oriented architecture en
dc.subject Service selection en
dc.subject.other Consumer quality en
dc.subject.other New services en
dc.subject.other Non-functional en
dc.subject.other Quality of experience (QoE) en
dc.subject.other Quality parameters en
dc.subject.other Quality requirements en
dc.subject.other Service lifecycle en
dc.subject.other Service oriented computing en
dc.subject.other Service selection en
dc.subject.other Service-oriented environment en
dc.subject.other WEB application en
dc.subject.other Internet protocols en
dc.subject.other Quality of service en
dc.subject.other Recommender systems en
dc.subject.other Service oriented architecture (SOA) en
dc.subject.other Web services en
dc.subject.other Information services en
dc.title A recommender mechanism for service selection in service-oriented environments en
heal.type conferenceItem en
heal.identifier.primary 10.1016/j.future.2011.11.003 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.future.2011.11.003 en
heal.publicationDate 2012 en
heal.abstract The emergence of service-oriented computing as a key-enabler of web applications and the subsequent increase in the web services available, has brought to the surface a major disadvantage of service oriented architecture: there is no consistent way for the consumer to select services based on non-functional, quality requirements. Consumers perceive quality through the prism of their own experience and it is important to see how their evaluation of the quality provided is mapped to the specific quality parameters offered by the provider. In order to achieve that, this work suggests to use consumer ratings of the latter parameters so as to create a consumer quality profile and a provider reputation. By correlating this profile with others, it is possible to identify similarities in the service ratings that will lead to a prediction of which service might be the most appropriate for a specific consumer. Based on this rationale, we devised a Service Recommender mechanism and introduced a slight modification in the service lifecycle to accommodate the new Service Recommendation protocol that supports the mechanism. © 2011 Elsevier B.V. All rights reserved. en
heal.journalName Future Generation Computer Systems en
dc.identifier.doi 10.1016/j.future.2011.11.003 en
dc.identifier.volume 28 en
dc.identifier.issue 8 en
dc.identifier.spage 1285 en
dc.identifier.epage 1294 en

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