ANN Based Forecasting of VBR Video Traffic for Dynamic Bandwidth Allocation in ATM Networks
Song Chong, San qi Li, Joydeep Ghosh · 1993
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 quantified 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. keywords: ATM network, real-time VBR video, dynamic bandwidth allocation, time delay neural network, pi-sigma network, forecasting. 1 Introduction Future broadband integrated services digital networks (B-ISDN) will support a wide range of services including voice, data, video and other modalities in an integrated and un...