A Long-Range Dependent Workload Model for Packet Data Traffic

@article{aglar2004ALD,
  title={A Long-Range Dependent Workload Model for Packet Data Traffic},
  author={Mine Çaglar},
  journal={Math. Oper. Res.},
  year={2004},
  volume={29},
  pages={92-105}
}
We consider a probabilistic model for workload input into a telecommunication system. It captures the dynamics of packet generation in data traffic as well as accounting for long-range dependence and self-similarity exhibited by real traces. The workload is found by aggregating the number of packets, or their sizes, generated by the arriving sessions. The arrival time, duration, and packet-generation process of a session are all governed by a Poisson random measure. We consider Pareto… CONTINUE READING

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
25 Extracted Citations
22 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 25 extracted citations

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 22 references

Statistics of Long Memory Processes

  • J. Beran
  • Chapman and Hall, New York. Billingsley, P. 1999…
  • 1994
Highly Influential
2 Excerpts

Adventures in Stochastic Processes

  • S. Resnick
  • J. Appl. Probab
  • 1992
Highly Influential
2 Excerpts

A Compound Model for TCP Connection Arrivals for LAN and WAN Applications

  • A. Weiss
  • 2002

Is network traffic approximated by stable Lévy motion or fractional Brownian motion ?

  • I. Norros
  • Ann . Appl . Probab .
  • 2002

Estimation of Markov Modulated Poisson Process Models of IP Traffic

  • A. Shiryaev
  • 2001

Similar Papers

Loading similar papers…