Model-driven rule composition for event-based systems Online publication date: Wed, 18-Mar-2015
by Hannes Obweger; Josef Schiefer; Martin Suntinger; Peter Kepplinger
International Journal of Business Process Integration and Management (IJBPIM), Vol. 5, No. 4, 2011
Abstract: This article presents a novel framework for creating sense-and-respond rules, which allow detecting noteworthy event situations from streams of business incidents and responding to them in near real-time. Focusing on expressiveness as well as manageability, the proposed framework uses a model-driven approach for the rule definition, where the different aspects of a rule are specified in clearly separated, comprehensible sub-models. This includes models for event-type and correlation information, virtual business-object representations, event patterns ('sense') and actions ('respond'), as well as event processing networks. Event patterns are modelled in a visual decision graph from easy-to-understand pieces of pattern-detection logic, and/or from sub-level event patterns. The proposed system has been fully implemented with a service-oriented architecture. The rule model is illustrated with a business case from the workload-automation domain.
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