Successful applications of the Internet of Things such as smart cities, smart logistics, and predictive maintenance, build on observing and analyzing business-related objects in the real world for business process execution and monitoring. In this context, complex event processing is increasingly used to integrate events from sensors with events stemming from business process management systems. This paper describes a methodology to combine the areas and engineer an event-driven logistics processes application. Thereby, we describe the requirements, use cases and lessons learned to design and implement such an architecture.
Towards a methodology for the engineering of event-driven process applications / Baumgraß, Anne; Botezatu, Mirela; DI CICCIO, Claudio; Dijkman, Remco; Grefen, Paul; Hewelt, Marcin; Mendling, Jan; Meyer, Andreas; Pourmirza, Shaya; Völzer, Hagen. - 256:(2016), pp. 501-514. (Intervento presentato al convegno 13th International Workshops on Business Process Management Workshops, BPM 2015 tenutosi a Innsbruck; Austria) [10.1007/978-3-319-42887-1_40].
Towards a methodology for the engineering of event-driven process applications
Claudio Di Ciccio;
2016
Abstract
Successful applications of the Internet of Things such as smart cities, smart logistics, and predictive maintenance, build on observing and analyzing business-related objects in the real world for business process execution and monitoring. In this context, complex event processing is increasingly used to integrate events from sensors with events stemming from business process management systems. This paper describes a methodology to combine the areas and engineer an event-driven logistics processes application. Thereby, we describe the requirements, use cases and lessons learned to design and implement such an architecture.File | Dimensione | Formato | |
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