Separation of a Mixture of Three-Parameter Lognormal Distributions in the Analysis of Communication Environments
- Авторы: Kozlov V.D.1, Maysuradze A.I.1
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Учреждения:
- Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University
- Выпуск: Том 30, № 3 (2019)
- Страницы: 311-319
- Раздел: Article
- URL: https://ogarev-online.ru/1046-283X/article/view/247917
- DOI: https://doi.org/10.1007/s10598-019-09457-8
- ID: 247917
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Аннотация
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.
Об авторах
V. Kozlov
Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University
Автор, ответственный за переписку.
Email: kozlov.vld@mail.ru
Россия, Moscow
A. Maysuradze
Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University
Email: kozlov.vld@mail.ru
Россия, Moscow
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