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International Conference on Business Process Management

BPM 2011: Business Process Management Workshops pp 473–478Cite as

Event-Driven Process-Centric Performance Prediction via Simulation

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 99))

Abstract

Today’s fast, competitive and extremely volatile markets exert a great deal of pressure on businesses to react quicker against the changes, and sometimes even before the changes actually happen. A late action can potentially result in a legal compliance failure or violation of service level agreements (SLA’s). A business analyst needs to be notified before these failures and violations occur. This paper proposes an approach that enables real-time and process-centric decision support in the form of performance prediction as an application of Event-Driven Business Process Management (EDBPM). The ability of simulations to produce future-events, which are of the same type like the live-events generated by the really executed business process, is utilised. Live-events and simulated future-events can therefore be treated by a Complex-Event Processing (CEP) engine in the same way and parameters representing the historic, current, and future performance of the business process can be easily computed.

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References

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Author information

Authors and Affiliations

  1. SAP Research Center, Belfast, United Kingdom

    David Redlich & Wasif Gilani

Authors
  1. David Redlich
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  2. Wasif Gilani
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Editor information

Editors and Affiliations

  1. University of Trento, Povo, Italy

    Florian Daniel

  2. CNAM-CEDRIC, Paris, France

    Kamel Barkaoui

  3. Vienna University of Technology, Vienna, Austria

    Schahram Dustdar

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Redlich, D., Gilani, W. (2012). Event-Driven Process-Centric Performance Prediction via Simulation. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds) Business Process Management Workshops. BPM 2011. Lecture Notes in Business Information Processing, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28108-2_46

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  • DOI: https://doi.org/10.1007/978-3-642-28108-2_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28107-5

  • Online ISBN: 978-3-642-28108-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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