Business artifact-centric modeling for real-time performance monitoring

  • Authors:

  • Rong Liu;Roman Vaculín;Zhe Shan;Anil Nigam;Frederick Wu

  • Affiliations:

  • IBM T.J. Watson Research Center, Hawthorne, NY;IBM T.J. Watson Research Center, Hawthorne, NY;Department of Supply Chain and Information Systems, Smeal College of Business, of Supply Chain and Information Systems, Smeal College of Business Penn State University, University Park, PA;IBM T.J. Watson Research Center, Hawthorne, NY;IBM T.J. Watson Research Center, Hawthorne, NY

  • Venue:
  • BPM'11 Proceedings of the 9th international conference on Business process management
  • Year:
  • 2011

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Abstract

In activity-centric process paradigm, developing effective and efficient performance models is a hard and laborious problem with many challenges mainly because of the fragmented nature of this paradigm. In this paper, we propose a novel approach to performance monitoring based on business artifactcentric process paradigm. Business artifacts provide an appropriate base for explicit modeling of monitoring contexts. We develop a model-driven two-phase methodology for designing real-time monitoring models. This methodology allows domain experts or business users to focus on defining metric and KPI requirements while the detailed technical specification of monitoring models can be automatically generated from the requirements and underlying business artifacts. This approach dramatically simplifies design of monitoring models and also increases the understandability of monitoring results.