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Conference papers

Complex Event Processing for Context-Adaptive Business Processes

Gabriel Hermosillo 1, 2, * Lionel Seinturier 1, 2 Laurence Duchien 1, 2
* Corresponding author
2 ADAM - Adaptive Distributed Applications and Middleware
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : As the amount of data created by today's pervasive environments increases exponentially, there is a stronger need to decipher the important information that is hidden among it. By using complex event processing, we can obtain the information that really matters to our organization and use it to improve our processes. However, even when this information is discovered, the processes remain static and cannot be changed to adapt to the actual scenario, diminishing the advantages that can be achieved. In this paper we present CEVICHE, a framework that combines the strengths of complex event processing and process adaption. CEVICHE deals with the different languages used to detect complex events while presenting a single interface to the user.
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Submitted on : Friday, November 27, 2009 - 2:32:33 PM
Last modification on : Friday, February 4, 2022 - 3:16:22 AM
Long-term archiving on: : Tuesday, October 16, 2012 - 3:01:09 PM


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  • HAL Id : inria-00436686, version 1



Gabriel Hermosillo, Lionel Seinturier, Laurence Duchien. Complex Event Processing for Context-Adaptive Business Processes. Belgium-Netherlands Software Evolution Seminar, BENEVOL 2009, Dec 2009, Louvain-la-Neuve, Belgium. pp.19-24. ⟨inria-00436686⟩



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