Net-based analysis of event processing networks - The fast flower delivery case

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Abstract

Event processing networks emerged as a paradigm to implement applications that interact with distributed, loosely coupled components. Such a network consists of event producers, event consumers, and event processing agents that implement the application logic. Event processing networks are typically intended to process an extensive amount of events. Hence, there is a need for performance and scalability evaluation at design time. In this paper, we take up the challenge of modelling event processing networks using coloured Petri nets. We outline how this type of system is modelled and illustrate the formalisation with the widely used showcase of the Fast Flower Delivery Application (FFDA). Further, we report on the validation of the obtained coloured Petri net with an implementation of the FFDA in the ETALIS framework. Finally, we show how the net of the FFDA is employed for analysis with CPN-Tools. © 2013 Springer-Verlag.

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APA

Weidlich, M., Mendling, J., & Gal, A. (2013). Net-based analysis of event processing networks - The fast flower delivery case. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7927 LNCS, pp. 270–290). https://doi.org/10.1007/978-3-642-38697-8_15

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