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Performance Modelling and Evaluation of ATM Networks
We study the effects of nonstationary traffic patterns in a network of ATM nodes. Dynamic behaviour of ATM networks is of interest due to the highly nonhomogenous nature of the load: periods of basic activities are interleaved with bursty periods of demands. The models frequently used to predict transient behaviour of these networks are based on fluid approximation. Usually they assume Poisson arrivals and consider only mean values of queues. Here, we propose a diffusion model which takes intodoi:10.1007/978-0-387-34881-0_18 fatcat:nbr352p22zdi7c4q4u4kzket4u