Objectif A large class of stochastic discrete event systems such as queuing network and stochastic Petri networks are amenable to a state representation of the form X(n + l) = f(X(n), Y(n)), n = 0,1,... where the function f and the random sequence {Y(n)} are given. The behavior of the sequence {X(n)} will be the subject of study. The sequence {Y(n)} can be considered as a driving sequence including some input and controlling parameters. Sequence X(n) will be referred to as Stochastic Recursive Sequences (SRS). For example, in queuing networks {Y(n)} means the sequence of inter-arrival and service times and of routing policies, and {X(n)} may be either queue-length and/or waiting-time processes. The aim of this project is the development of general mathematical methods for the analysis and control of various classes of stochastic discrete event systems such as queueing networks, Petri networks, generalized semi-Markov processes etc., as well as the applications of these results to various models arising in communication systems or computer architectures. The partners have strong and complementary records both in the mathematical part of the project (point processes: Braunschweig, Paris; stochastic recurrence sequences: Novosibirsk, Paris; asymptotic theory: Moscow, Novosibirsk, Cambridge; analytical theory: Amsterdam, Braunschweig, Moscow, etc.) and in the applications (production of performance evaluation software and involvement in industrial projects: Amsterdam, Cambridge, Paris). Programme(s) IC-INTAS - International Association for the promotion of cooperation with scientists from the independent states of the former Soviet Union (INTAS), 1993- Thème(s) 22 - Informatics Appel à propositions Data not available Régime de financement Data not available Coordinateur Institut National de la Recherche en Contribution de l’UE Aucune donnée Adresse Siège de Sophia-Antipolis Route des Lucioles 1004 06902 Sophia Antipolis France Voir sur la carte Coût total Aucune donnée Participants (2) Trier par ordre alphabétique Trier par contribution de l’UE Tout développer Tout réduire Novosibirsk State University Russie Contribution de l’UE Aucune donnée Adresse 630090 Novosibirsk Voir sur la carte Coût total Aucune donnée Russian Academy of Sciences Russie Contribution de l’UE Aucune donnée Adresse 101447 Moscow Voir sur la carte Coût total Aucune donnée
