A Parallel Algorithm for Correlating Event Streams

  • Authors:
  • Daniel M. Zimmerman;K. Mani Chandy

  • Affiliations:
  • California Institute of Technology, Pasadena;California Institute of Technology, Pasadena

  • Venue:
  • IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
  • Year:
  • 2005

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Abstract

This paper describes a parallel algorithm for correlating or "fusing" streams of data from sensors and other sources of information. The algorithm is useful for applications where composite conditions over multiple data streams must be detected rapidly, such as intrusion detection or crisis management. The implementation of this algorithm on a multithreaded system and the performance of this implementation are also briefly described.