We introduce Stochastic Process Algebras as a novel approach for the structured design and analysis of both the functional behaviour and performance characteristics of parallel and distributed systems. This is achieved by integrating performance modelling and analysis into the powerful and well investigated formal description technique of process algebras. After advocating the use of stochastic process algebras as a modelling technique we recapitulate the foundations of classical process algebras. Then we present extensions of process algebras such that the requirements of performance analysis are taken into account. Examples illustrate the methodological advantages that are gained.
CITATION STYLE
Götz, N., Herzog, U., & Rettelbach, M. (1993). Multiprocessor and distributed system design: The integration of functional specification and performance analysis using stochastic process algebras. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 729 LNCS, pp. 121–146). Springer Verlag. https://doi.org/10.1007/bfb0013851
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