Abstract
Providing a particularly effective means to model a concurrent or parallel system, a Petri net is here applied to model a semaphore system. A Markov renewal process is introduced to the model, which is defined as an extended stochastic Petri net. Probabilistic behaviour of the semaphore system can thus be clarified. Finally, a case study with assumed numerical values is given.
Original language | English |
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Pages (from-to) | 217-224 |
Number of pages | 8 |
Journal | International Journal of Systems Science |
Volume | 22 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1991 Jan |
Externally published | Yes |
ASJC Scopus subject areas
- Control and Systems Engineering
- Theoretical Computer Science
- Computer Science Applications