• DocumentCode
    1671238
  • Title

    Service Selection Using Service Clusters

  • Author

    Zhengzhe Xiang ; Shuiguang Deng ; Honghao Gao

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
  • fYear
    2015
  • Firstpage
    769
  • Lastpage
    772
  • Abstract
    With the rapid development of cloud computing technologies, there are increasing number of Web services deployed by service providers on cloud platforms. Invoking Web services is in the form of given orders, by which the end-user can process business and information in anytime and anyway. However, existing Web service compositions mainly focus on single Web services selection and neglect to consider the fact that complex services created and aggregated by service compositions might be low global QoS (Quality of service). In this paper, the importance and necessity to construct service clusters in business process are discussed. Then, how to build up a model to solve the optimal QoS problem of Web service composition using service clusters is proposed. Third, the dynamic programming algorithm is introduced to this model. Finally, a series of experiments are carried out to evaluate our method. The results show that service cluster has advantage to obtain composite service with best QoS for the end-user.
  • Keywords
    Web services; business data processing; cloud computing; dynamic programming; quality of service; Web service compositions; business process; cloud computing technologies; dynamic programming algorithm; optimal QoS problem; quality of service; service clusters; service selection; Business; Clustering algorithms; Conferences; Quality of service; Reliability; Service computing; Web services; service cluster; service composition; service selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services Computing (SCC), 2015 IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4673-7280-0
  • Type

    conf

  • DOI
    10.1109/SCC.2015.111
  • Filename
    7207429