The graphical methods for estimating Hurst parameter of self-similar network traffic
نویسندگان
چکیده
The modern high-speed network traffic exhibits the self-similarity. The degree of selfsimilarity is measured by the Hurst parameter. In this paper are used two graphical techniques for estimating Hurst parameter of pseudo-random self-similar sequences, based on the fractional Gaussian noise (FGN) method. The analyses show that the FGN method always produces self-similar sequences, with relative inaccuracy of the estimating Hurst parameter below 8%. This generator should be recommended for practical simulation studies of high-speed telecommunication networks, since it is very accurate.
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