• DocumentCode
    2996718
  • Title

    Combined Cache Policy for Service Workflow Execution Acceleration

  • Author

    Yidong Chen ; Jian Cao ; Jing Xiao

  • Author_Institution
    Shanghai Key Lab. of Scalable Comput. & Syst., Shanghai Jiaotong Univ., Shanghai, China
  • fYear
    2012
  • fDate
    22-24 Nov. 2012
  • Firstpage
    72
  • Lastpage
    79
  • Abstract
    In recent years, to compose a set of web services as a service workflow is becoming a common practice. When a service workflow is executing, a service workflow engine is responsible for service invocations in terms of the process logics. In order to accelerate the executions of service workflows, the invocation results of services can be cached to facilitate future reuse so that the re-invocations of the services can be possibly avoided. A combined cache policy based on the service relationship modeling is proposed. The cache problem of a service workflow is formalized firstly. The data structure for this policy based on a chained table is then defined. How to refresh the cache is also discussed. Experiment´s results show that the execution speed is increased comparing with the policy of independent service cache policy. At the same time, the amount of cache refresh time is decreased.
  • Keywords
    Web services; data structures; Web services; cache refresh time; data structure; execution speed; independent service cache policy; service invocations; service relationship modeling; service workflow engine; service workflow execution acceleration; Acceleration; Engines; Equations; Mathematical model; Resource management; Servers; Web services; cache; web services; workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud and Service Computing (CSC), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-4724-2
  • Type

    conf

  • DOI
    10.1109/CSC.2012.19
  • Filename
    6414481