A recommender mechanism for service selection in service-oriented environments

Tserpes, K; Aisopos, F; Kyriazis, D; Varvarigou, T

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	https://dspace.lib.ntua.gr/xmlui/handle/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