• DocumentCode
    2379993
  • Title

    Dynamic Pick Method of Web Service Selection Algorithms Based on Use Mode in Self-adaptive Web Service Composition

  • Author

    Guohong, Li ; Jun, Na ; Bin, Zhang ; Pengxiang, Dong ; Yuesong, Zhang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Software Coll. Northeastern Univ., Shenyang, China
  • fYear
    2011
  • fDate
    25-27 May 2011
  • Firstpage
    22
  • Lastpage
    26
  • Abstract
    To solve the contradiction between self-adaptive efficiency and optimization effect existing in the execution of current self-adaptive Web service composition, this paper proposes a dynamic pick method of Web service selection algorithms based on use mode. The dynamic pick method chooses service selection algorithm which best fits the runtime self-adaptive situation as adaptive strategy in self-adaptive Web service composite. And to achieve the dynamic pick, this paper presents two estimation methods of service selection algorithm´s execution time in different ways. Through implementation and analysis, this paper adopts an associative way of two estimation methods. At last, this paper implements and tests the dynamic pick method. Test results show that the dynamic pick method based on use mode can effectively relieve the contradiction.
  • Keywords
    Web services; aspect-oriented programming; optimisation; Web service selection algorithms; dynamic pick method; optimization; self-adaptive Web service; self-adaptive efficiency; service selection algorithm; Algorithm design and analysis; Complexity theory; Estimation; Heuristic algorithms; Optimization; Runtime; Web services; Dynamic pick; Self-adaption; Service selection algorithm; Web service somposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Sciences (IJCSS), 2011 International Joint Conference on
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4577-0326-3
  • Electronic_ISBN
    978-0-7695-4421-2
  • Type

    conf

  • DOI
    10.1109/IJCSS.2011.13
  • Filename
    5960237