International audienceThe equilibrium distributions of a Markovian model describing the interaction of several classes of permanent connections in a network are analyzed. It has been introduced by Graham and Robert. For this model each of the connections has a self-adaptive behavior in that its transmission rate along its route depends on the level of congestion of the nodes on its route. It has been shown that the invariant distributions are determined by the solutions of a fixed point equation in a finite dimensional space. In this paper, several examples of these fixed point equations are studied. The topologies investigated are rings, trees and a linear network, with various sets of routes through the nodes
Abstract: We derive decentralized and scalable stability conditions for a fluid approximation of a c...
This paper studies the co-evolution of networks and play in the context of finite population potenti...
In this paper we develop tools to analyse a recently proposed random matrix model of communication n...
International audienceThe equilibrium distributions of a Markovian model describing the interaction ...
International audienceThe equilibrium distributions of a Markovian model describing the interaction ...
International audienceThe equilibrium distributions of a Markovian model describing the interaction ...
International audienceThe equilibrium distributions of a Markovian model describing the interaction ...
International audienceThe mean-field limit of a Markovian model describing the interaction of severa...
International audienceA Markovian model of the evolution of intermittent connections of various clas...
International audienceA Markovian model of the evolution of intermittent connections of various clas...
International audienceA Markovian model of the evolution of intermittent connections of various clas...
International audienceThe mean-field limit of a Markovian model describing the interaction of severa...
International audienceThe mean-field limit of a Markovian model describing the interaction of severa...
International audienceThe mean-field limit of a Markovian model describing the interaction of severa...
We derive decentralized and scalable stability conditions for a fluid approximation of a class of In...
Abstract: We derive decentralized and scalable stability conditions for a fluid approximation of a c...
This paper studies the co-evolution of networks and play in the context of finite population potenti...
In this paper we develop tools to analyse a recently proposed random matrix model of communication n...
International audienceThe equilibrium distributions of a Markovian model describing the interaction ...
International audienceThe equilibrium distributions of a Markovian model describing the interaction ...
International audienceThe equilibrium distributions of a Markovian model describing the interaction ...
International audienceThe equilibrium distributions of a Markovian model describing the interaction ...
International audienceThe mean-field limit of a Markovian model describing the interaction of severa...
International audienceA Markovian model of the evolution of intermittent connections of various clas...
International audienceA Markovian model of the evolution of intermittent connections of various clas...
International audienceA Markovian model of the evolution of intermittent connections of various clas...
International audienceThe mean-field limit of a Markovian model describing the interaction of severa...
International audienceThe mean-field limit of a Markovian model describing the interaction of severa...
International audienceThe mean-field limit of a Markovian model describing the interaction of severa...
We derive decentralized and scalable stability conditions for a fluid approximation of a class of In...
Abstract: We derive decentralized and scalable stability conditions for a fluid approximation of a c...
This paper studies the co-evolution of networks and play in the context of finite population potenti...
In this paper we develop tools to analyse a recently proposed random matrix model of communication n...