Skip to Main content Skip to Navigation
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.
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download

https://hal.inria.fr/inria-00436686
Contributor : Lionel Seinturier <>
Submitted on : Friday, November 27, 2009 - 2:32:33 PM
Last modification on : Saturday, December 12, 2020 - 6:08:02 PM
Long-term archiving on: : Tuesday, October 16, 2012 - 3:01:09 PM

File

hermosillo-benevol-2009.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00436686, version 1

Collections

Citation

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⟩

Share

Metrics

Record views

484

Files downloads

865