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Computing Degree of Parallelism for BPMN Processes

  • Yutian Sun
  • Jianwen Su
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7084)

Abstract

For sequential processes and workflows (i.e., pipelined tasks), each enactment (process instance) only has one task being performed at each time instant. When a process allows tasks to be performed in parallel, an enactment may have a number of tasks being performed concurrently and this number may change in time. We define the “degree of parallelism” of a process as the maximum number of tasks to be performed concurrently during an execution of the process. This paper initiates a study on computing degree of parallelism for three classes of BPMN processes, which are defined based on the use of BPMN gateways. For each class, an algorithm for computing degree of parallelism is presented. In particular, the algorithms for “homogeneous” and acyclic “choice-less” processes (respectively) have polynomial time complexity, while the algorithm for “asynchronous” processes runs in exponential time.

Keywords

Business Process Online Appendix Outgoing Edge Homogeneous Process Execution Planning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Yutian Sun
    • 1
  • Jianwen Su
    • 1
  1. 1.Department of Computer ScienceUniversity of CaliforniaSanta BarbaraUSA

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