• DocumentCode
    2441902
  • Title

    Methodology for migration of long running process instances in a global large scale BPM environment in Credit Suisse´s SOA landscape

  • Author

    Ploom, Tarmo ; Scheit, Stefan ; Glaser, Axel

  • Author_Institution
    Integration Archit., Credit Suisse AG, Zurich, Switzerland
  • fYear
    2012
  • fDate
    2-9 June 2012
  • Firstpage
    977
  • Lastpage
    986
  • Abstract
    Research about process instance migration covers mainly changes in process models during the process evolution and their effects on the same runtime environment. But what if the runtime environment - a legacy Business Process Execution (BPE) platform - had to be replaced with a new solution? Several migration aspects must be taken into account. (1) Process models from the old BPE platform have to be converted to the target process definition language on the target BPE platform. (2) Existing Business Process Management (BPM) applications must be integrated via new BPE platform interfaces. (3) Process instances and process instance data state must be migrated. For each of these points an appropriate migration strategy must be chosen. This paper describes the migration methodology which was applied for the BPE platform renewal in Credit Suisse.
  • Keywords
    business data processing; service-oriented architecture; BPE; BPM; business process execution; business process management; credit suisse SOA landscape; global large scale BPM environment; long running process instances; process evolution; runtime environment; Analytical models; Banking; Business; Computer architecture; Data models; History; Standards; BPM application migration; business process execution platform; legacy workflow system replacement; migration of long running process instances; process definition model conversion; workflow application migration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (ICSE), 2012 34th International Conference on
  • Conference_Location
    Zurich
  • ISSN
    0270-5257
  • Print_ISBN
    978-1-4673-1066-6
  • Electronic_ISBN
    0270-5257
  • Type

    conf

  • DOI
    10.1109/ICSE.2012.6227123
  • Filename
    6227123