Title :
Performance Analysis Using Stochastic Petri Nets
Author :
Molloy, Michael K.
Author_Institution :
Department of Computer Science, School of Natural Sciences, University of Texas
Abstract :
An isomorphism between the behavior of Petri nets with exponentially distributed transition rates and Markov processes is presented. In particular, k-bounded Petri nets are isomorphic to finite Markov processes and can be solved by standard techniques if k is not too large. As a practical example, we solve for the steady state average message delay and throughput on a communication link when the alternating bit protocol is used for error recovery.
Keywords :
Alternating bit protocol; Markovian systems; Petri nets; Petri nets with time; performance analysis; Circuits; Computer science; Costs; Data structures; Encoding; Performance analysis; Petri nets; Stochastic processes; Tree graphs; Very large scale integration; Alternating bit protocol; Markovian systems; Petri nets; Petri nets with time; performance analysis;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1982.1676110