• DocumentCode
    127574
  • Title

    Integrating Trust with Qualitative and Quantitative Preference for Service Selection

  • Author

    Hongbing Wang ; Lei Wang ; Chao Yu

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    299
  • Lastpage
    306
  • Abstract
    With the increasing number of web services, there appear more and more services with similar functionality but different Quality of Services (QoS) or trust properties. With the emergence user behavior, the requests provided by users may not only contain non-functional properties (NFPs) as their preferences. Moreover, they may also pay attention to trust. To the best of our knowledge, there appears non previous work together consider the above two factors during service selection. Therefore, integrating trust with preference arises as a new challenge for Web service selection. In our previous work [1], [2], we perform web service selection based on user preferences, including qualitative preferences and quantitative preferences. In this paper, we further extend our work and propose a novel multi-objective optimization approach that integrate trust with user preferences to rank the relevancy of web service. Experimental results conducted on open data-sets demonstrate our high-quality service selection results.
  • Keywords
    Web services; quality of service; NFP; QoS; Web service selection; emergence user behavior; high quality service selection; multiobjective optimization; nonfunctional properties; qualitative preference; quality of services; quantitative preference; similar functionality; trust properties; user preferences; Data preprocessing; Equations; Estimation; Indexes; Mathematical model; Quality of service; Web services; Preference; QoS; Qualitative; Quantitative; Service Selection; Trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2014 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5065-2
  • Type

    conf

  • DOI
    10.1109/SCC.2014.47
  • Filename
    6930547