This paper demonstrates how three stochastic process algebras can be mapped on to a generally-distributed stochastic transition system. We demonstrate an aggregation technique on these stochastic transition systems and show how this can be implemented as a matrix-analysis method for finding steady-state distributions. We verify that the time complexity of the algorithm is a considerable improvement upon a previous method and discuss how the technique can be used to generate partial steady-state distributions for SPA systems.
|Translated title of the contribution||A Matrix-based Method for Analysing Stochastic Process Algebras|
|Journal||Proceedings in Informatics -- PAPM'2000, Process Algebra and Performance Modelling|
|Publication status||Published - 2000|
Bibliographical noteISBN: 1894145070
Publisher: Carleton Scientific Press
Name and Venue of Conference: Proceedings in Informatics -- PAPM'2000, Process Algebra and Performance Modelling
Other identifier: 1000452