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Analyzes queues and stochastic networks with probabilistic methods. This work aims to show that results from Markov processes, martingales or ergodic theory be used to study the corresponding stochastic processes. It aims to show that an understanding of results on stochastic processes is crucial to study the complex behavior of these networks. «
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