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.
['Rong Liu', 'Anil Nigam', 'Jun-Jang Jeng', 'Chian-rou Shieh', 'Frederick Y. Wu']
Integrated Modeling of Performance Monitoring with Business Artifacts