DocumentCode
959439
Title
Conservative parallel simulation of continuous time Markov chains using uniformization
Author
Heidelberger, Philip ; Nicol, David M.
Author_Institution
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Volume
4
Issue
8
fYear
1993
fDate
8/1/1993 12:00:00 AM
Firstpage
906
Lastpage
921
Abstract
The authors describe parallel algorithms for simulating certain continuous time Markov chains, such as those arising in queueing network models of distributed computing systems or communications systems. The algorithms are based on the technique of uniformization. Two variations of a conservative parallel simulation algorithm are presented. In each algorithm, a relatively short presimulation is performed to identify those times, and only those times, at which the simulation algorithm requires processor pairs to synchronize. Speedup studies of the algorithms, performed on a 16-node Intel iPSC/2 hypercube, are presented and discussed
Keywords
Markov processes; discrete event simulation; parallel algorithms; queueing theory; Intel iPSC/2 hypercube; communications systems; conservative parallel simulation algorithm; continuous time Markov chains; distributed computing systems; parallel algorithms; queueing network models; uniformization; Clustering algorithms; Computational modeling; Computer aided manufacturing; Discrete event simulation; Distributed computing; Hypercubes; Parallel algorithms; Predictive models; Time warp simulation; Virtual manufacturing;
fLanguage
English
Journal_Title
Parallel and Distributed Systems, IEEE Transactions on
Publisher
ieee
ISSN
1045-9219
Type
jour
DOI
10.1109/71.238625
Filename
238625
Link To Document