Estimating Method of the Hurst Parameter for IP network traffic

Authors

  • A. H. Shepelenko
  • I. V. Dehtiarenko

Keywords:

ip traffic, self-similarity, long-range dependence, hurst parameter, internet traffic trace

Abstract

Internet traffic and traffic of IP-network exhibits self-similarity and long-range dependence (LRD). In this paper, we propose to adapt the Modified Allan Variance (MAVAR) to estimate the Hurst parameter of LRD traffic traces. The method is applied to pseudo-random self-similar data series, generated with assigned values of self-similarity parameter H. The behavior of MAVAR with most common deterministic signals is also studied. Finally, the technique is applied to a real IP traffic channel, providing the example of MAVAR usage for traffic analysis.

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Published

2010-11-12

How to Cite

[1]
A. H. Shepelenko and I. V. Dehtiarenko, “Estimating Method of the Hurst Parameter for IP network traffic”, Вісник ВПІ, no. 5, pp. 157–160, Nov. 2010.

Issue

No 5 (2007)

Section

Radioelectronics and radioelectronic equipment manufacturing

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