Modeling network traffic with long range dependence: characterization, visualization and tools
โ Scribed by Michael Devetsikiotis; Nelson L.S. da Fonseca
- Book ID
- 108101093
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 239 KB
- Volume
- 48
- Category
- Article
- ISSN
- 1389-1286
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
## Abstract We present a multiplicative multifractal process to model traffic which exhibits longโrange 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
Source trafยฎc streams as well as aggregated trafยฎc ยฏows often exhibit long-range-dependent (LRD) properties. In this paper, we study trafยฎc streams through their counting process representation. We ยฎrst study the condition for the measured LRD trafยฎc, as described by the interarrival time and packet
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 d