Database of Research Tools Developed Using CADP

Interactive Probabilistic Chains Using CADP

Organisation: Inria Grenoble Rhône-Alpes and LIG, Grenoble (FRANCE)

Functionality: Support for Interactive Probabilistic Chains

Tools used: CADP (Construction and Analysis of Distributed Processes)

Period: 2009

Description: Interactive Probabilistic Chains (IPCs) are an approach to performance evaluation inspired by Interactive Markov Chains, but using probabilities instead of stochastic distributions and a central clock governing all delays. This has the advantage of enabling to combine probabilistic/stochastic information (e.g., the rates at which applications produce and consume messages) with precise timing information (e.g., memory access time). The semantics of IPCs is defined by a structured operational semantics for standard process algebra operators (sequential and parallel composition, nondeterministic choice, etc.), and probabilistic branching bisimulation has been proven to be a congruence for the parallel composition of IPCs.

Conclusions: Taking advantage of the open architecture of CADP, a tool chain (11,600 lines of C code) has been developed and experimented on several examples of a streaming system-on-chip architecture.

Publications: [Coste-Hermanns-Lantreibecq-Serwe-09] Nicolas Coste, Holger Hermanns, Etienne Lantreibecq, and Wendelin Serwe
Available on-line at: http://cadp.inria.fr/publications/Coste-Hermanns-Lantreibecq-Serwe-09.html

[Coste-10] Nicolas Coste. "Towards Performance Prediction of Compositional Models in GALS Designs". Thèse de doctorat en informatique de l'Université de Grenoble, June 2010.
Available on-line at: http://cadp.inria.fr/publications/Coste-10.html

Contact:
Inria Grenoble Rhône Alpes / VASY project-team
655, avenue de l'Europe
38330 Montbonnot
FRANCE
E-mail: [email protected]
Further remarks: This tool, amongst others, is described on the CADP Web site: http://cadp.inria.fr/software

Last modified: Thu Feb 11 12:23:12 2021.

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