• DocumentCode
    2016148
  • Title

    On-Demand Resource Provisioning for BPEL Workflows Using Amazon´s Elastic Compute Cloud

  • Author

    Dornemann, T. ; Juhnke, Ernst ; Freisleben, Bernd

  • Author_Institution
    Dept. of Math. & Comput. Sci., Univ. of Marburg, Marburg
  • fYear
    2009
  • fDate
    18-21 May 2009
  • Firstpage
    140
  • Lastpage
    147
  • Abstract
    BPEL is the de facto standard for business process modeling in today´s enterprises and is a promising candidate for the integration of business and Grid applications. Current BPEL implementations do not provide mechanisms to schedule service calls with respect to the load of the target hosts. In this paper, a solution that automatically schedules workflow steps to underutilized hosts and provides new hosts using Cloud computing infrastructures in peak-load situations is presented. The proposed approach does not require any changes to the BPEL standard. An implementation based on the ActiveBPEL engine and Amazon´s Elastic Compute Cloud is presented.
  • Keywords
    Web services; business data processing; grid computing; scheduling; workflow management software; Amazon elastic compute cloud; BPEL workflow scheduling; Web service; business process modeling; cloud computing; enterprises business integration; grid application; on-demand resource provisioning; service-oriented architectures; Cloud computing; Computer science; Engines; Grid computing; Mathematics; Paramagnetic resonance; Processor scheduling; Runtime; Service oriented architecture; Web services; BPEL; Cloud Computing; Load Balancing; Provisioning; Reliability; Scheduling; Workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing and the Grid, 2009. CCGRID '09. 9th IEEE/ACM International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3935-5
  • Electronic_ISBN
    978-0-7695-3622-4
  • Type

    conf

  • DOI
    10.1109/CCGRID.2009.30
  • Filename
    5071865