Daniel M. Zimmerman and K. Mani Chandy. Presented at the 19th IEEE International Parallel and Distributed Programming Symposium (IPDPS 2005), April 2005.
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.
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| A Parallel Algorithm for Correlating Event Streams.pdf | 226.62 KB |