Adaptive prediction of variable bit rate MPEG video traffic for RCBR network

Authors exploit the periodical dependence characteristics of MPEG video and develop a novel coding model based LMS algorithm to predict the bandwidth required by the future frame and group of pictures (GOP). It integrates the fixed structural information of coding model into the prediction. For any kind of frames (I, P, B frames), the algorithm can modify its parameters automatically using the coding information without considering different frames separately. Compared to the LMS, the modified LMS can predict the bit rate of frames fast and accurately without any delay. Through the analysis of queuing of video traffic in buffer of a renegotiate constant bit rate network, prediction for dynamic allocating bandwidth exhibits good performance than fixed bandwidth allocation.