Article in Proceedings INPROC-2008-06

BibliographyKoch, Gerald G.; Koldehofe, Boris; Rothermel, Kurt: Higher confidence in event correlation using uncertainty restrictions.
In: 28th IEEE International Conference on Distributed Computing Systems Workshops (ICDCSW'08); 2008.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 417-422, english.
IEEE Computer Society, June 2008.
ISSN: 1545-0678; DOI:
Article in Proceedings (Workshop Paper).
CR-SchemaC.2.4 (Distributed Systems)
Keywordsevent correlation, uncertainty restriction

Distributed cooperative systems that use event notification for communication can benefit from event correlation within the notification network. In the presence of uncertain data, however, correlation results easily become unreliable. The handling of uncertainty is therefore an important challenge for event correlation in distributed event notification systems. In this paper, we present a generic correlation model that is aware of uncertainty. We propose uncertainty constraints that event correlation can take into account and show how they can lead to higher confidence in the correlation result. We demonstrate that the application of this model allows to obtain a qualitative description of event correlation.

Full text and
other links
PDF (114306 Bytes)
original publication is available at IEEE Xplore
CopyrightThis material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE (contact By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
Entry dateFebruary 18, 2008
   Publ. Department   Publ. Institute   Publ. Computer Science