Process Algebra and Markov Chains


Brinksma, H. and Hermanns, H. (2001) Process Algebra and Markov Chains. In: H. Brinksma & H. Hermanns & J.P. Katoen (Eds.), Lectures on Formal Methods and Performance Analysis. Lecture Notes in Computer Science, 2090 . Springer Verlag, Berlin, pp. 183-231. ISBN 9783540424796

[img] PDF
Restricted to UT campus only

Abstract:This paper surveys and relates the basic concepts of process algebra and the modelling of continuous time Markov chains. It provides basic introductions to both fields, where we also study the Markov chains from an algebraic perspective, viz. that of Markov chain algebra. We then proceed to study the interrelation of reactive processes and Markov chains in this setting, and introduce the algebra of Interactive Markov Chains as an orthogonal extension of both process and Markov chain algebra. We conclude with comparing this approach to related (Markovian) stochastic process algebras by analysing the algebraic principles that they support.
Item Type:Book Section
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Link to this item:
Official URL:
Export this item as:BibTeX
HTML Citation
Reference Manager


Repository Staff Only: item control page