## Abstract We present a multiplicative multifractal process to model traffic which exhibits long‐range dependence. Using traffic trace data captured by Bellcore from operations across local and wide area networks, we examine the interarrival time series and the packet length sequences. We also mod
Multiplicative multifractal modeling of long-range-dependent (LRD) traffic in computer communications networks
✍ Scribed by Jianbo Gao; Izhak Rubin
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 504 KB
- Volume
- 47
- Category
- Article
- ISSN
- 0362-546X
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✦ Synopsis
Source traffic streams as well as aggregated traffic flows often exhibit long-rangedependent (LRD) properties. In this work, we model traffic streams using multiplicative multifractal processes. We develop two type of models, the multifractal point processes and multifractal counting processes. We demonstrate our model to effectively track the behavior exhibited by the system driven by the actual traffic processes. We also study the superposition of LRD flows. We prove that the superposition of a finite number of multiplicative multifractal traffic streams results asymptotically in another multifractal stream. Furthermore we demonstrate numerically that the superimposed process can be effectively modeled by an ideal multiplicative process.
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