Dynamical Resource Reservation Scheme in an ATM Network Using Neural Network-Based Traffic Prediction
Using real traffic data, we show that neural network-based prediction techniques can be used to predict the queuing behaviour of highly bursty traffics typical of LAN interconnection in a way accurate enough so as to allow dynamical renegotiation of a DBR traffic contract at the edge of an ATM network.