Combining Quality of Service and Social Information for Ranking Services

  • Authors:

  • Qinyi Wu;Arun Iyengar;Revathi Subramanian;Isabelle Rouvellou;Ignacio Silva-Lepe;Thomas Mikalsen

  • Affiliations:

  • College of Computing, Georgia Institute of Technology, Atlanta, USA 30332;IBM T.J. Watson Research Center, Hawthorne, USA NY 10532;IBM T.J. Watson Research Center, Hawthorne, USA NY 10532;IBM T.J. Watson Research Center, Hawthorne, USA NY 10532;IBM T.J. Watson Research Center, Hawthorne, USA NY 10532;IBM T.J. Watson Research Center, Hawthorne, USA NY 10532

  • Venue:
  • ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
  • Year:
  • 2009

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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 and is invoked more frequently by others is more trusted by the community and will be assigned a higher rank. ServiceRank has been implemented on SOAlive, a platform for creating and managing services and situational applications. We present experimental results which show noticeable differences between the quality of service of commonly used mapping services on the Web. We also demonstrate properties of ServiceRank by simulated experiments and analyze its performance on SOAlive.