Estimating the parameters of measured self similar traffic for modeling in OPNET

@article{Fras2007EstimatingTP,
  title={Estimating the parameters of measured self similar traffic for modeling in OPNET},
  author={Matjaz Fras and Joze Mohorko},
  journal={2007 14th International Workshop on Systems, Signals and Image Processing and 6th EURASIP Conference focused on Speech and Image Processing, Multimedia Communications and Services},
  year={2007},
  pages={78-81}
}
Over the last ten years, new models of network traffic in the Internet environment have been developed, which are different to traditional models such are Poisson and Markov. This paper describes the estimating of measured self similar traffic's parameters for modeling in OPNET. Network traffic was captured using a sniffer. We estimated the Hurst parameter (H) for the arrival process, and the fitted distributions for the measured data (packet size and inter-arrival processes). Using the… CONTINUE READING
11 Citations
11 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 11 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 11 references

Implementation of an advanced traffic model in Opnet modeler", Department of electrical engineering – ESAT-TELEMIC

  • J. Potemans
  • 2003
1 Excerpt

Use of the raw generator in Opnet", Department of electrical engineering – ESAT-TELEMIC

  • P. Leys
  • 2002
1 Excerpt

Estimation of the Hurst Parameter of Long Range Dependent Time Series

  • O. Rose
  • Research Report,
  • 1996
1 Excerpt

Similar Papers

Loading similar papers…