DocumentCode :
2199410
Title :
Performance evaluation of colored Petri net models using simulation and moment generating functions
Author :
Kulp, P. ; DiCesare, E.
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Volume :
1
fYear :
1998
fDate :
11-14 Oct 1998
Firstpage :
154
Abstract :
This paper formulates a methodology to evaluate the performance of various stochastic Petri net models including colored stochastic Petri net models. The results include an example of the performance evaluation of a stochastic Petri net. This formulation utilizes simulation to generate an approximation of the reachability graph of a Petri net, then applies moment generating function analysis to this approximate reachability graph. The approximation of the reachability graph is constructed from paths taken by a simulator as it executes the Petri net. This partial reachability graph is then combined with the firing rates of the original Petri net to form a state machine Petri net which can then be analyzed via moment generating functions. This analysis involves computing a system transfer function for the time elapsed between two specified markings of the state machine. This paper demonstrates by a small example the ability to identify a transfer function that approximates the behavior of a system represented by a Petri net.
Keywords :
Petri nets; graph colouring; reachability analysis; stochastic processes; approximate reachability graph; colored stochastic Petri net models; moment generating function analysis; moment generating functions; partial reachability graph; performance evaluation; reachability graph; simulation; state machine Petri net; system transfer function; Analytical models; Computational modeling; Delay effects; Discrete event simulation; Electromagnetic compatibility; Fires; Mathematical model; Petri nets; Stochastic processes; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-4778-1
Type :
conf
DOI :
10.1109/ICSMC.1998.725401
Filename :
725401
Link To Document :
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