An approach for data-driven and logic-based complex Event Processing

  • Authors:
  • Darko Anicic;Paul Fodor;Nenad Stojanovic;Roland Stühmer

  • Affiliations:
  • FZI Forschungszentrum Informatik, Karlsruhe, Germany;Stony Brook University, Stony Brook, NY;FZI Forschungszentrum Informatik, Karlsruhe, Germany;FZI Forschungszentrum Informatik, Karlsruhe, Germany

  • Venue:
  • Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
  • Year:
  • 2009

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Abstract

In this paper, we present a powerful logic-based approach for Complex Event Processing (CEP). The approach is founded on a logical transformation of event processing into logic programs. Many systems for event processing have ad-hoc semantics with unexpected behaviors. Further on, many formal approaches (with well defined semantics) cannot effectively be used in CEP, due to their inability to compute events in the data-driven fashion. Our approach enables both logic-based and data-driven complex event detection. Moreover, the backward chaining approach allows for very efficient reasoning of complex events and actions triggered by these events.