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Markov Modulated Bernoulli Process in modeling network traffic
| Content Provider | Semantic Scholar |
|---|---|
| Author | Wlodarski, Przemyslaw |
| Copyright Year | 2010 |
| Abstract | A big impact of self-similar nature of network traffic on queueing performance and Quality of Service in computer networks involves new modeling techniques to provide low computational complexity and better approximation of the real traffic. A discrete-time Markov modulated Bernoulli process is one of the traffic models that captures fractal behavior and can be used in performance testing of queueing systems such as routers or switches. In this paper the model is presented and evaluated from the point of view of the desired self-similarity level. New parameter values that give better results for estimation of Hurst exponent has been proposed. Simulation results are compared with the literature data. |
| Starting Page | 1513 |
| Ending Page | 1515 |
| Page Count | 3 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-article-BSW4-0088-0033/c/Wlodarski.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
