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19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers
A Parallel Algorithm for Correlating Event Streams
Denver, Colorado
April 04-April 08
ISBN: 0-7695-2312-9
ASCII Text
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Daniel M. Zimmerman, K. Mani Chandy, "A Parallel Algorithm for Correlating Event Streams," Parallel and Distributed Processing Symposium, International, vol. 1, pp. 25a, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers, 2005.
 
 
BibTex
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@article{ 10.1109/IPDPS.2005.54,
author = {Daniel M. Zimmerman and K. Mani Chandy},
title = {A Parallel Algorithm for Correlating Event Streams},
journal ={Parallel and Distributed Processing Symposium, International},
volume = {1},
year = {2005},
issn = {1530-2075},
pages = {25a},
doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2005.54},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Parallel and Distributed Processing Symposium, International
TI - A Parallel Algorithm for Correlating Event Streams
SN - 1530-2075
SP
EP
A1 - Daniel M. Zimmerman,
A1 - K. Mani Chandy,
PY - 2005
KW - null
VL - 1
JA - Parallel and Distributed Processing Symposium, International
ER -
 
Daniel M. Zimmerman, California Institute of Technology, Pasadena
K. Mani Chandy, California Institute of Technology, Pasadena
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.
Citation:
Daniel M. Zimmerman, K. Mani Chandy, "A Parallel Algorithm for Correlating Event Streams," ipdps, vol. 1, pp.25a, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers, 2005
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