Efficient uncertainty management in complex event systems
Segev Wasserkrug, Avigdor Gal, Yulia Turchin, Opher Etzion · 2008
There is a growing need for the use of active systems, systems that act automatically based on events. Applications include business applications, e.g., Business Process Management (BPM), engineering applications, e.g., forecasting networked resources availability, and scientific applications, e.g., utilization of grid resources. Event Composition Systems (e.g., [1, 2, 6]) have been proposed as a tool to analyze data and detect situations that require a response. These are general purpose systems intended for inferring (using rules), in real time, the occurrence of events, based on the occurrence of other events. The declarative nature of rules, combined with an optimized inference mechanism, allows these systems to respond quickly to new and evolving situations by changing a set of rules rather than by making changes in code.