ANN Based Forecasting of VBR Video Tra c for Dynamic Bandwidth Allocation in ATM Networks
نویسندگان
چکیده
Two time delay neural network (TDNN) based forecasting systems are proposed to perform dynamic bandwidth reservation for real-time, variable bit rate (VBR) video service in ATM networks. Both multilayered perceptron (MLP) and pi-sigma network (PSN) based systems are found to give highly reliable predictions even in a nonstationary environment. Their performance is quantiied through simulation experiments on clippings from the movie, \Star Wars". In particular, the PSN-TDNN based dynamic bandwidth reservation achieves high network utilization , loss-free transmission and reasonable delay, and its lower computational requirements make it suitable for on-line operation.
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