Analysis of SDN Traffic using Full-scale Modeling

The present work is devoted to the analysis and investigation of traffic in software defined networks (SDN). This article describes the main provisions of the SDN concept, the task of investigating traffic is presented, and a possible way to solve it is considered. The task of traffic research includes an analysis of the basic characteristics and traffic indicators of SDN. As a possible solution, a method of full-scale modeling is proposed. In this paper, a full-scale experiment was performed on a real network for the modeling and analysis of SDN traffic. Also in the work, the obtained result is approximated to understand to which theoretical distribution law the empirical distribution obtained in the experiment described in this article is closer. In addition, in this scientific paper, self-similarity of SDN traffic simulated to the experiment input is estimated. © 2018 IEEE.

Авторы
Usmanov O.1 , Muthanna A. 2 , Paramonov A. 1
Издательство
IEEE
Язык
Английский
Статус
Опубликовано
Номер
8631205
Том
2018-November
Год
2019
Организации
  • 1 Department of Communication Networks and Data Transmission, Bonch-Bruevich Saint-Petersburg State University of Telecommunications, St.-Petersburg, Russian Federation
  • 2 Applied Probability and Informatics Department, Peoples' Friendship University of Russia, RUDN University, Moscow, Russian Federation
Ключевые слова
Full-scale modeling SDN; Hurst coefficient; Software defined networks
Дата создания
19.07.2019
Дата изменения
09.02.2024
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/38790/
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