2009
DOI: 10.1007/978-3-642-10383-4_41
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Combining Quality of Service and Social Information for Ranking Services

Abstract: In service-oriented computing, multiple services often exist to perform similar functions. In these situations, it is essential to have good ways for qualitatively ranking the services. In this paper, we present a new ranking method, ServiceRank, which considers quality of service aspects (such as response time and availability) as well as social perspectives of services (such as how they invoke each other via service composition). With this new ranking method, a service which provides good quality of service … Show more

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Cited by 38 publications
(22 citation statements)
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References 13 publications
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“…Xie et al introduce a framework for semantic service composition based on social networks [20]. Wu et al rank Web services using non-functional properties and invocation requests at run-time [19]. A Web service's popularity as analyzed by users is the social element used during ranking.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Xie et al introduce a framework for semantic service composition based on social networks [20]. Wu et al rank Web services using non-functional properties and invocation requests at run-time [19]. A Web service's popularity as analyzed by users is the social element used during ranking.…”
Section: Literature Reviewmentioning
confidence: 99%
“…A fuzzy rule describes which combination of attribute values a user is willing to accept to which degree, where attribute values and degree of acceptance are fuzzy sets. ServiceRank [13] considers the QoS aspects as well as the social perspectives of services. Services that have good QoSs and are frequently invoked by others are more trusted by the community and will be assigned high ranks.…”
Section: Related Workmentioning
confidence: 99%
“…ServiceRank [20] ranks services from two aspects: quality of service and social information. ServiceRank considers two qualities: response time and availability.…”
Section: Related Workmentioning
confidence: 99%
“…Many trust-based service selection approaches have been proposed [6,9,[11][12][13]20]. However, many of them fail to deal with the second challenge practically.…”
Section: Introductionmentioning
confidence: 99%