Prediction-based network bandwidth control

Abstract

The fractional autoregressive integrated moving average, FARIMA (p,d,q) model, is capable of capturing both the long-range and short-range dependence in the video traffic. We propose a prediction-based bandwidth allocation scheme for integrated service packet networks using the FARIMA (p,d,q) model. Our simulation experiments show that this scheme can significantly reduce the requirement of buffer size and the frame loss rate.