Automatic Detection of Business Process Interference

Provided by: University of Greifswald
Topic: Big Data
Format: PDF
Today's organizations are characterized by long-running distributed business processes, which involve different stakeholders and share common resources. One of the main challenges posed in such a highly distributed setting comes from the interference between different processes that are running in parallel. During execution of a business process, a data modification caused by some external process may lead to erroneous and undesirable business outcomes. In this paper, the authors propose to annotate business processes with dependency scopes, which cover critical sections of the process.

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