• DocumentCode
    483324
  • Title

    A Service Selection Method of Non-critical Task in Parallel Structure

  • Author

    Zhu Hong-ning ; Zhang Bin ; Gao Xian-wen

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
  • fYear
    2009
  • fDate
    23-25 Jan. 2009
  • Firstpage
    846
  • Lastpage
    850
  • Abstract
    Aiming at the neglected selection for non-critical task in parallel structure, this paper provides a method of services selection based on grey relational analysis. It regards the execution time of critical task as the upper limit for the execution time of non-critical task, uses the execution time of non-critical task as the reference series, and takes other QoS criteria as compared series. And the grey relational grades represent the relational degree between the QoS criteria and the execution time; the grey relational grades are reduced to the QoS criteriapsilas weights, then evaluating the weighted sum of criteria in order to choose the optimized candidate Web QoS service of parallel structure. Though the selection sacrifices the execution time of non-critical task, it has no influence on the execution time of parallel structure, and improves other QoS criteria simultaneously. The instance analysis shows that the method is a composite service QoS optimization technique which does not affect the execution time of composite services and obtains the better service quality at the cost of sacrificing the execution time of non-critical task.
  • Keywords
    data mining; quality of service; Web QoS service; composite services; grey relational analysis; noncritical task; parallel structure; service selection method; Arithmetic; Constraint optimization; Cost function; Data engineering; Information analysis; Information science; Knowledge engineering; Optimization methods; Quality of service; Web services; QoS optimization; grey relational analysis; non-critical task; parallel structure; service selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-0-7695-3543-2
  • Type

    conf

  • DOI
    10.1109/WKDD.2009.208
  • Filename
    4772067