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Context-driven Assessment of Provider Reputation in Composite Provision Scenarios

Research output: Chapter in Book/Report/Conference proceedingConference paper

Lina Barakat, Phillip Taylor, Nathan Griffiths, Simon Miles

Original languageEnglish
Title of host publicationProceeding of the 13th International Conference on Service Oriented Computing
PublisherSpringer
Pages53-67
Number of pages15
DOIs
Publication statusPublished - 2015
Eventinternational conference on service oriented computing - Goa, India
Duration: 16 Nov 201619 Nov 2018

Conference

Conferenceinternational conference on service oriented computing
CountryIndia
CityGoa
Period16/11/201619/11/2018

Documents

  • paper158

    paper158.pdf, 1.36 MB, application/pdf

    10/12/2015

    Accepted author manuscript

    The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-662-48616-0_4

King's Authors

Abstract

Service-oriented computing has become the de-facto way of developing distributed applications and, in such systems, an accurate assessment of reputation is essential for selecting between alternative providers. Existing methods typically assess reputation on a combination of direct experiences by the client being provided with a service and third party recommendations, but they exclude from consideration a wealth of information about the context of providers’ previous actions. Such information is particularly important in composite service provision scenarios, where providers may delegate sub-tasks to others, and thus their success or failure needs to be interpreted in this context and reputation assessed according to responsibility. In response, to enable richer, more accurate reputation mechanisms, this paper models the delegation knowledge underlying a composite service provision, and incorporates such knowledge into the reputation assessment process, adjusting the contributions of past interactions with the composite service provider according to delegation context relevance. Experimental results demonstrate the effectiveness of the proposed approach.

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