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Parameter estimations in a model imitating a network admission system with self-similar arrival streams

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Abstract

Arrival traffic control allows one to improve network performance. Recently, access control schemes based on traffic parameter measurements became popular. In this paper, we consider the problem of artificial traffic analysis in the presence of self-similarity and compute the corresponding statistical characteristics, such as the autocorrelation function and the spectral density. These functions can be used for optimization of the arrival stream measurement frequency in a measurement-based access control scheme.

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Authors and Affiliations

  1. Riga Technical University, 1 Lomonosov Str., LV-1019, Riga, Latvia

    M. Kulikovs & E. Petersons

Authors
  1. M. Kulikovs
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  2. E. Petersons
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Correspondence to M. Kulikovs.

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Original Russian Text © M. Kulikovs, E. Petersons, 2009, published in Avtomatika i Vychislitel’naya Tekhnika, 2009, No. 2, pp. 47–56.

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Kulikovs, M., Petersons, E. Parameter estimations in a model imitating a network admission system with self-similar arrival streams. Aut. Conrol Comp. Sci. 43, 88–95 (2009). https://doi.org/10.3103/S0146411609020059

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  • DOI: https://doi.org/10.3103/S0146411609020059

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