• DocumentCode
    2444710
  • Title

    Advanced Migration Strategies for Adaptive Process Management Systems

  • Author

    Rinderle-Ma, Stefanie ; Reichert, Manfred

  • Author_Institution
    Fac. of Comput. Sci., Univ. of Vienna, Vienna, Austria
  • fYear
    2010
  • fDate
    10-12 Nov. 2010
  • Firstpage
    56
  • Lastpage
    63
  • Abstract
    Enabling dynamic process changes is an essential requirement for any adaptive process management technology. Particularly, it should be possible to migrate (long-)running process instances to a new process schema version. Further, instance migration must not violate soundness; i.e., structural and behavorial consistency of executed process schemas need to be preserved. State compliance has been introduced as basic correctness notion to ensure that instances, whose state has progressed too far, are prohibited from being migrated. However, this also excludes them from future process optimizations, which is often not tolerable in practice. This paper introduces advanced migration strategies for coping with non-compliant instances in the context of process change such that they can benefit from future process type changes on the one hand, but do not run into soundness problems on the other hand. Contrary to existing approaches, the strategies proposed in this paper are based on adjustments at process type and instance level. Altogether, the suggested migration strategies complement treatment of non-compliant process instances.
  • Keywords
    business process re-engineering; adaptive process management systems; advanced migration strategies; dynamic process changes; instance migration; state compliance; Adaptive systems; Business; Connectors; Context; Measurement; Optimization; Silicon; Adaptive Process Management Systems; Migration Strategies for Process Instances; Relaxed Compliance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Commerce and Enterprise Computing (CEC), 2010 IEEE 12th Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8433-1
  • Electronic_ISBN
    978-0-7695-4228-7
  • Type

    conf

  • DOI
    10.1109/CEC.2010.18
  • Filename
    5708393