• DocumentCode
    2424251
  • Title

    QoS probability distribution estimation for web services and service compositions

  • Author

    Zheng, Huiyuan ; Yang, Jian ; Zhao, Weiliang

  • Author_Institution
    Dept. of Comput., Macquarie Univ., Sydney, NSW, Australia
  • fYear
    2010
  • fDate
    13-15 Dec. 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper, we propose an approach to model the probability density function (PDF) of the QoS of a web service (QoWS) based on non-parametric statistical method. Mathematical formulas are designed to calculate the QoS distributions for service compositions (QoCS). Experiment has been done to show that the proposed QoWS distribution modeling approach is much more accurate than exiting methods. An accurate PDF estimation can be obtained for the QoCS if the PDF of the component QoWSs are modeled by the proposed method.
  • Keywords
    Web services; nonparametric statistics; probability; quality of service; PDF; QoCS; QoS probability distribution estimation; QoWS; Web services; nonparametric statistical method; probability density function; service composition; Estimation; Gaussian distribution; Measurement; Probability distribution; Quality of service; Time factors; Web services; QoS; Web service; probability distribution; service composition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service-Oriented Computing and Applications (SOCA), 2010 IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    978-1-4244-9802-4
  • Type

    conf

  • DOI
    10.1109/SOCA.2010.5707144
  • Filename
    5707144