Modeling of network traffic

The paper describes a new class of stochastic processes, which generalizes the concept of self-similarity. This class of processes is suitable for traffic modeling since it permits to take into account the presence of several traffic components with different statistical properties and defines proper conditions for the convergence of the aggregated traffic to suitable limit processes. The main result of the paper is that under adequate normalization conditions the aggregation of heterogeneous flows converges to the sum of two independent processes (α-Stable Levy Motion and Fractional Brownian Motion), able to take into account the self-similar nature of broadband traffic as well is its bursty (i.e., non Gaussian) marginal distribution. ©2010 IEEE.

Авторы
D'Apice C.1 , Galaktionova O.2 , Khokhlov Y. 3 , Pagano M.4
Редакторы
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Издательство
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Номер выпуска
-
Язык
Английский
Страницы
1137-1140
Статус
Опубликовано
Подразделение
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Ссылка
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Номер
5676524
Том
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Год
2010
Организации
  • 1 Department of Information Engineering and Applied Mathematics, University of Salerno, Via Ponte don Melillo, 84084 Fisciano (SA), Italy
  • 2 Department of Mathematical Statistics and System Analysis, Tver State University, Zhelybov Street 33, 170100 Tver, Russian Federation
  • 3 Department of Probability Theory and Mathematical Statistics, People's Friendship University of Russia, Miklukho-Maklaya str., 6, 117198 Moscow, Russian Federation
  • 4 Department of Information Engineering, University of Pisa, Via Caruso 16, 56122 Pisa, Italy
Ключевые слова
Modelling of nonhomogeneous traffic; Self-similar processes
Дата создания
19.10.2018
Дата изменения
19.10.2018
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/2666/