Moving average based predictors for MPEG-4 VBR traffic sources

Dynamic allocation of bandwidth allows us to maintain an agreed quality of service while streaming multimedia content in a network. This can be achieved by predicting future traffic in advance and allocating resources accordingly. In this paper, we propose new prediction techniques for MPEG-4 encoded variable bit rate video traffic based on the concept of moving average and extend them further using the gradient-descent approach. The resultant predictors are both simple and accurate and suitable for realtime prediction. We use the NLMS technique as a base-line predictor for our comparative study and show a performance improvement of about 11%.