Integrated modeling of performance monitoring with business artifacts

Rong Liu, Anil Nigam, Jun Jang Jeng, Chian Rou Shieh, Frederick Y. Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Real-time performance monitoring is an essential practice to enable sense-and-respond capability of enterprises. However, building a performance monitoring application is often arduous. We present a model-driven, systematic approach to performance monitoring based on an extended business artifact-centric process model. In this approach, business artifacts provide a means of tracking resource utilization in processes. Monitoring contexts and inbound event definitions are derived from the artifact model and can be configured for target performance measures. During process execution, inbound events are collected in a timely manner and fed into the monitoring contexts to calculate performance measures and detect situations. Thus, we turn performance monitoring into an integrated part of business process modeling to achieve accelerated development.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010
Pages64-71
Number of pages8
DOIs
StatePublished - 2010
EventIEEE International Conference on E-Business Engineering, ICEBE 2010 - Shanghai, China
Duration: 10 Nov 201012 Nov 2010

Publication series

NameProceedings - IEEE International Conference on E-Business Engineering, ICEBE 2010

Conference

ConferenceIEEE International Conference on E-Business Engineering, ICEBE 2010
Country/TerritoryChina
CityShanghai
Period10/11/1012/11/10

Keywords

  • Business artifact
  • Metric
  • Monitoring context
  • Performance measure
  • Performance monitoring

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