Abstract
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, we propose a novel traffic model that parsimoniously accounts for user behavior, network topology, and the heterogeneous distribution of network bandwidths.
Original language | English (US) |
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Title of host publication | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
Editors | M.B. Matthews |
Pages | 29-33 |
Number of pages | 5 |
Volume | 1 |
State | Published - 2002 |
Event | The Thirty-Sixth Asilomar Conference on Signals Systems and Computers - Pacific Groove, CA, United States Duration: Nov 3 2002 → Nov 6 2002 |
Other
Other | The Thirty-Sixth Asilomar Conference on Signals Systems and Computers |
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Country/Territory | United States |
City | Pacific Groove, CA |
Period | 11/3/02 → 11/6/02 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Signal Processing
- Hardware and Architecture