• DocumentCode
    3128716
  • Title

    Stochastic Modeling Study for Competitive Web Services Market

  • Author

    Cheng, Shuxing ; Chang, Carl K. ; Zhang, Liang-Jie

  • Author_Institution
    Iowa State Univ., Ames
  • fYear
    2007
  • fDate
    9-13 July 2007
  • Firstpage
    960
  • Lastpage
    967
  • Abstract
    In our earlier work, competitive Web services market was proposed to address one of the major business concerns, namely "competitiveness", of the current Web services research. This paper aims to attack the issues of how to model and analyze competitive Web services market, which ranges from the service node at the micro level to the competitive composite service providers at the macro level. Moreover, in order to tackle and contain the randomness embedded in a Web services system, we apply the Markov chain theory to analyze the availability of Web services market. Moreover, we analyze the stochastic performance of the Web services market using queuing theory and propose the adaptive control methodology to improve the performance.
  • Keywords
    Markov processes; Web services; queueing theory; Markov chain; adaptive control; competitive Web services market; queuing theory; stochastic modeling; Application specific processors; Availability; Computer science; Delay; Performance analysis; Queueing analysis; Service oriented architecture; Stochastic processes; Web and internet services; Web services; Markov chain; Web services; Web services market; architecture; queuing theory; service composition; service oriented;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services, 2007. ICWS 2007. IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • Print_ISBN
    0-7695-2924-0
  • Type

    conf

  • DOI
    10.1109/ICWS.2007.170
  • Filename
    4279694