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Using real traffic data, we show that neural network-based prediction techniques can be used topredict the queuing behaviour of highly bursty traffics typical of LAN interconnection in a wayaccurate enough so as to allow dynamical renegotiation of a DBR traffic contract at the edge ofan ATM network.

Dynamical Resource Reservation Scheme in an ATM Network Using Neural Network-Based Traffic Prediction