We present a model for shared resources systems on which we define a performance parameter : $\gamma$. We then focus on the study of this parameter for a class of stochastic systems. After presenting some analytical properties of $\gamma$, we are interested in its evaluation. In many cases, exact results seem impossible to obtain. For this reason, we have been interested in computing bounds for $\gamma$. Several approaches lead to different results. The results emphasize an importante notion : the notion of exclusion graph. Indeed, the bounds we obtain are functions of simple quantities defined on these graphs such as the mean degree or the chromatic number. We finally show how the results we obtained can apply to the estimation of Lyapunov...
Composition du Jury : M. Jean-Pierre Conze Directeur M. Yves Guivarc'h Examinateur M. Émile Le Page ...
Performance evaluation of complex systems is a critical issue and bounds computation provides confid...
Abstract: The computing of stochastic bounds has become an efficient technique to obtain performance...
We present a model for shared resources systems on which we define a performance parameter : $\gamma...
Max-plus stochastic linear systems describe a wide variety of non-linear queueing processes. The dyn...
Max-plus stochastic linear systems describe a wide variety of non-linear queueing processes. The dyn...
AbstractDespite considerable works, the numerical analysis of large chains remains a difficult probl...
This paper addresses the problem of approximately computing the Lyapunov exponent of stochastic max-...
In this thesis, we first focus on two stochastic bandit problems. The first problem deals with the f...
Structural symmetries in stochastic well-formed colored Petri nets (SWN's) lead to behavioral symmet...
[[abstract]]Considers stochastic linear systems under the max-plus algebra. For such a system, the s...
This paper presents a new method to compute bounds of performance parameters of Markov chains exhibi...
Dans cette thèse, nous étudions les problèmes d'incertitudes dans les modèles probabilistes et tento...
National audienceWe present a new method to analyse the performance of networks. First, we show how ...
We consider Markov chain comparison methods and algorithms, and applications to network performance ...
Composition du Jury : M. Jean-Pierre Conze Directeur M. Yves Guivarc'h Examinateur M. Émile Le Page ...
Performance evaluation of complex systems is a critical issue and bounds computation provides confid...
Abstract: The computing of stochastic bounds has become an efficient technique to obtain performance...
We present a model for shared resources systems on which we define a performance parameter : $\gamma...
Max-plus stochastic linear systems describe a wide variety of non-linear queueing processes. The dyn...
Max-plus stochastic linear systems describe a wide variety of non-linear queueing processes. The dyn...
AbstractDespite considerable works, the numerical analysis of large chains remains a difficult probl...
This paper addresses the problem of approximately computing the Lyapunov exponent of stochastic max-...
In this thesis, we first focus on two stochastic bandit problems. The first problem deals with the f...
Structural symmetries in stochastic well-formed colored Petri nets (SWN's) lead to behavioral symmet...
[[abstract]]Considers stochastic linear systems under the max-plus algebra. For such a system, the s...
This paper presents a new method to compute bounds of performance parameters of Markov chains exhibi...
Dans cette thèse, nous étudions les problèmes d'incertitudes dans les modèles probabilistes et tento...
National audienceWe present a new method to analyse the performance of networks. First, we show how ...
We consider Markov chain comparison methods and algorithms, and applications to network performance ...
Composition du Jury : M. Jean-Pierre Conze Directeur M. Yves Guivarc'h Examinateur M. Émile Le Page ...
Performance evaluation of complex systems is a critical issue and bounds computation provides confid...
Abstract: The computing of stochastic bounds has become an efficient technique to obtain performance...