DocumentCode :
3352026
Title :
Performance evaluation of non-Markovian stochastic event graphs
Author :
Cubaud, Pierre H.
Author_Institution :
CEDRIC, Conservatoire Nat. des Arts et Metiers, Paris, France
fYear :
1995
fDate :
3-6 Oct 1995
Firstpage :
94
Lastpage :
102
Abstract :
The computation of transitions firing rates of a stochastic event graph is equivalent to the computation of the completion time of some PERT network. We describe a low polynomial complexity algorithm that provides bounds and approximation of any firing rate using properties of integral orderings among random variables. We test the algorithm on some examples and discuss its use for the computation of the network cycle time
Keywords :
PERT; Petri nets; computational complexity; stochastic processes; PERT network; low polynomial complexity algorithm; nonMarkovian stochastic event graphs; performance evaluation; transitions firing dates; Approximation algorithms; Art; Computer networks; Delay; Fires; Integral equations; Polynomials; Random variables; Stochastic processes; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Petri Nets and Performance Models, 1995., Proceedings of the Sixth International Workshop on
Conference_Location :
Durham, NC
ISSN :
1063-6714
Print_ISBN :
0-8186-7210-2
Type :
conf
DOI :
10.1109/PNPM.1995.524319
Filename :
524319
Link To Document :
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