Article in Proceedings INPROC-2010-21

BibliographyKoch, Gerald Georg; Koldehofe, Boris; Rothermel, Kurt: Cordies: Expressive event correlation in distributed systems.
In: Proceedings of the 4th International Conference on Distributed Event-Based Systems (DEBS'10).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 26-37, english.
ACM, July 2010.
ISBN: 978-1-60558-927-5; DOI: 10.1145/1827418.1827424.
Article in Proceedings (Conference Paper).
CR-SchemaC.2.4 (Distributed Systems)
KeywordsCordies; distributed complex event processing; restriction graph; correlation description
Abstract

Complex Event Processing (CEP) is the method of choice for the observation of system states and situations by means of events. A number of systems have been introduced that provide CEP in selected environments. Some are restricted to centralised systems, or to system with synchronous communication, or to a limited space of event relations that are defined in advance. Many modern systems, though, are inherently distributed and asynchronous, and require a more powerful CEP. We present Cordies, a distributed system for the detection of correlated events that is designed for the operation in large-scale, heterogeneous networks and adapts dynamically to changing network conditions. With its expressive language to describe event relations, it is suitable for environments where neither the event space nor the situations of interest are predefined but are constantly adapted.

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Copyright© ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems (DEBS'10), Cambridge, UK, July 2010. http://doi.acm.org/10.1145/1827418.1827424
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
Project(s)SpoVNet
aks
EPAION
Entry dateApril 28, 2010
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