Multiscale Connection-Level Analysis of Network Traffic
Riedi, Rudolf H.
Baraniuk, Richard G.
Network traffic exhibits drastically different statistics, ranging from nearly Gaussian marginals and long range dependence at very large time scales to highly non-Gaussian marginals and multifractal scaling on small scales. This behavior can be explained by decomposing traffic into two components according to the connection bandwidth: the small bandwidth component absorbs most traffic and is Gaussian, while large bandwidth component constitutes virtually all of the small scale bursts. Based on this understanding, a novel traffic model is proposed that parsimoniously accounts for user behavior, network topology, and the heterogeneous distribution of network bandwidths.