On linear prediction of Internet traffic for packet and burst switching networks

In this paper, we show that prediction algorithms in the least mean square error sense prove better in a burst rather than in a packet switching network. For the latter, further information about the packet arrival distribution within the prediction interval is required. Regarding burst switching, we compare Optical Burst Switching networks with and without linear prediction to conclude that linear prediction provides a significant improvement in end-to-end latency with low bandwidth waste. Keywords— Internet performance analysis, traffic prediction, longrange dependence, short-range dependence, traffic measurement.