Complex Event Processing Modeling by Prioritized Colored Petri Nets

Complex event processing (CEP) is a technology that allows us to process and correlate large volumes of data by using event patterns, aiming at promptly detecting specific situations that could require special treatment. The event types and event patterns for a particular application domain are impl...

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Bibliographic Details
Published in:IEEE access 2016, Vol.4, p.7425-7439
Main Authors: Macia, Hermenegilda, Valero, Valentin, Diaz, Gregorio, Boubeta-Puig, Juan, Ortiz, Guadalupe
Format: Article
Language:English
Subjects:
Analytical models
Big data
CEP
Data mining
End users
EPL
Event detection
Formal modeling
Modelling
Petri nets
Semantics
services for big data
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Summary:Complex event processing (CEP) is a technology that allows us to process and correlate large volumes of data by using event patterns, aiming at promptly detecting specific situations that could require special treatment. The event types and event patterns for a particular application domain are implemented by using an event processing language (EPL). Although some current model-driven tools allow end users to easily define these patterns, which are then transformed automatically into a particular EPL, the generated code is syntactically but not semantically validated. To deal with this problem, a prioritized colored Petri net (PCPN) model for CEP is proposed and conducted in this paper. This well-known graphical formalism together with CPNTools makes possible the modeling, simulation, analysis, and semantic validation of complex event-based systems. To illustrate this approach, a case study is presented, as well as a discussion on the benefits from using PCPN for modeling CEP-based systems.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2016.2621718