Separation of a Mixture of Three-Parameter Lognormal Distributions in the Analysis of Communication Environments


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Methods for the separation of a mixture of three-parameter lognormal distributions are investigated theoretically and empirically in the context of modeling message transmission delays in a computer cluster communication environment. Delay modeling based on mixtures of three-parameter lognormal distributions is proposed and parameter estimation methods for such models are investigated. Identifiability of the given family of distributions is proved, which is a necessary condition for the mixture separation problem to be well-posed. The proposed problem-oriented modifications of the standard algorithms are shown to be superior to the traditional methods.

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V. Kozlov

Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University

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Email: kozlov.vld@mail.ru
俄罗斯联邦, Moscow

A. Maysuradze

Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University

Email: kozlov.vld@mail.ru
俄罗斯联邦, Moscow

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