A Framework for Event Correlation in Communication Systems

Mouayad Albaghdadi¹, Bruce Briley², Martha Evens³, Rafid Sukkar⁴, Mohammed Petiwala¹, and Mark Hamlen¹

¹Motorola Inc.,
1301 E. Algonquin Road, Room # 3346,
Schaumburg, IL 60196, USA
{albaghdadi,Mohammed.H.Petiwala,CSPP03}@motorola.com

²Motorola Inc.,
50 Northwest Point Blvd.,
Elk Grove, IL 60007, USA
bbriley@ieee.org

³Illinois Institute of Technology,
CS Department, 10 West 31st Street,
Chicago, IL 60616, USA
evens@iit.edu

⁴Lucent Technologies,
2000 N. Naperville Road,
Naperville, IL 60566, USA
sukkar@lucent.com

Abstract. This paper introduces a framework for event correlation in communication systems. We will show how the concept of a class in object-oriented methodology can be used to provide scalability to the framework. Events and system topology information are combined to generate the causal information needed for correlation. Geometric representation of codewords is used to overcome the noise factor. Temporal reasoning is explored to reduce noise and increase the number of event patterns that can be detected. The framework has been applied to a wireless communication system.

LNCS 2216, p. 271 ff.

Full article in PDF (99 KB)

Online publication: October 10, 2001
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