Integrated Modeling of Performance Monitoring with Business Artifacts
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.
performance monitoring business artifact metric monitoring context performance measure
Rong Liu Anil Nigam Jun-Jang Jeng Chian-Rou Shieh Frederick Y. Wu
IBM T.J. Watson Research Center New York, USA National Tsing Hua University Hsinchu, Taiwan
国际会议
2010 IEEE International Conference on e-Business Engineering(2010年电子商务工程国际研讨会 ICEBE 2010)
上海
英文
64-71
2010-11-10（万方平台首次上网日期，不代表论文的发表时间）