• DocumentCode
    2696482
  • Title

    A Novel Dynamic Priority Scheduling Algorithm of Process Engine in SOA

  • Author

    Tian, Qiming ; Li, Li ; Jin, Ling ; Bai, Xinxin

  • Author_Institution
    Res. Lab., IBM China, Beijing, China
  • fYear
    2009
  • fDate
    6-10 July 2009
  • Firstpage
    711
  • Lastpage
    718
  • Abstract
    EAI and SOA are widely adopted in enterprise information systems with business processes being orchestrated by a process engine. An algorithm which schedules tasks of process instances to maximize overall customer satisfaction is proposed in this paper. This new algorithm maximizes the total value of all process instances by dynamically assigning different priority to each task based on the business value and time-left of the corresponding process instances. The value of each kind of process instance is modeled as a utility function of response time which reflects the inverse proportional relationship between the customer satisfaction and response time. Experiments show that the total value of utility function with the proposed algorithm is promoted a lot than traditional methods.
  • Keywords
    Web services; consumer behaviour; customer satisfaction; information systems; optimisation; scheduling; utility theory; EAI; SOA; business process orchestration; business value; customer behaviour intention; customer response time; customer satisfaction maximization; dynamic priority scheduling algorithm; enterprise application integration; enterprise information system; inverse proportional relationship; optimization method; process engine; service-oriented architecture; utility function; Automatic control; Control systems; Customer satisfaction; Delay; Engines; Information systems; Quality of service; Scheduling algorithm; Semiconductor optical amplifiers; Service oriented architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services, 2009. ICWS 2009. IEEE International Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3709-2
  • Type

    conf

  • DOI
    10.1109/ICWS.2009.17
  • Filename
    5175888