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Determining the optimal interval of the parameter identification of self-similar traffic

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Abstract

Results of a study aimed at determining the optimal observation interval for the self-similar traffic in the switch/hub (after the end of which the decision is made regarding the control of the traffic or switch/hub parameters) are given. The entropy maximization method was used to determine the optimal interval.

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References

  1. Asars, A., Petersons, E., and Kulikovs, M., Modeling of Measurements Based Admission Control Algorithm Using OPNET, Proc. of the 48th RTU International Conference, Riga, 2007.

  2. Asars, A. and Petersons, E., Information Theory Approach for Studying Self-Similar Traffic, Proc. of the International Conference “Mathematical Methods for Optimization of Telecommunication Networks”, Minsk, 2005, pp. 8–13.

  3. Ulanovs, P. and Petersons, E., Modeling methods of Self-Similar Traffic for Network Performance Evaluation, Scientific Proc. of RTU. Series 7. Telecommunication and Electronics, 2002.

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Authors and Affiliations

  1. Riga Technical University, ul. Lomonosova 1, Riga, LV-1019, Latvia

    A. Asars & E. Petersons

Authors
  1. A. Asars
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  2. E. Petersons
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Correspondence to A. Asars.

Additional information

Original Russian Text © A. Asars, E. Petersons, 2009, published in Avtomatika i Vychislitel’naya Tekhnika, 2009, No. 4, pp. 58–65.

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Asars, A., Petersons, E. Determining the optimal interval of the parameter identification of self-similar traffic. Aut. Conrol Comp. Sci. 43, 211–216 (2009). https://doi.org/10.3103/S0146411609040075

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  • DOI: https://doi.org/10.3103/S0146411609040075

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