Аналіз особливостей статистичних властивостей трафіку сучасних інформаційних мереж та підходів до моделювання інформаційних потоків
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Файли
Дата
2019
Автори
Макаришкін, Д.А.
Ковтун, Л.О.
Ткачук, В.М.
Кінаш, М.О.
Makaryshkin, D.
Kovtun, L.
Tkachuk, V.
Kynash, M.
Назва журналу
Номер ISSN
Назва тому
Видавець
Хмельницький національний університет
Анотація
В статті описаний аналіз особливостей статистичних властивостей трафіку сучасних інформаційних мереж. Розглядаються існуючі математичні моделі при описі трафіку інформаційних мереж. Показані їх переваги та недоліки. Проводиться огляд методів аналізу та універсальних моделей для опису трафіку сучасних інформаційних мереж. Встановлено, що одним з перспективних напрямків є використання статистичних моделей на основі нормованих рангових функцій.
In today's world, information networks are becoming an increasingly relevant and indispensable means of sharing information in most areas of human activity. The rapid development of information technology and information processing facilities, as well as the virtually instantaneous transfer of information between users, are leading to a steady increase in the amount of information traffic worldwide. According to a study by one of the largest companies that manufactures and develops equipment for modern Cisco information networks [1], in 2016, the global total Internet traffic amounted to 1.2 ZB and is expected to reach 3.3 ZB in 2021. However, the development of information technologies and services, along with difficultly predicted user behavior, complicate the structural and dynamic characteristics of information network traffic, which necessitates the development of new methods of research and modeling of information network traffic characteristics, including the involvement of mathematical apparatus from related fields , including statistical physics, computational mathematics, elements of graph theory, and several others. The article describes the analysis of the peculiarities of the statistical properties of the traffic of modern information networks. Existing mathematical models are described in the description of traffic of information networks. Their advantages and disadvantages are shown. An overview of analytical methods and universal models for describing the traffic of modern information networks is conducted. It is established that one of the promising directions is the use of statistical models based on normalized rank functions.
In today's world, information networks are becoming an increasingly relevant and indispensable means of sharing information in most areas of human activity. The rapid development of information technology and information processing facilities, as well as the virtually instantaneous transfer of information between users, are leading to a steady increase in the amount of information traffic worldwide. According to a study by one of the largest companies that manufactures and develops equipment for modern Cisco information networks [1], in 2016, the global total Internet traffic amounted to 1.2 ZB and is expected to reach 3.3 ZB in 2021. However, the development of information technologies and services, along with difficultly predicted user behavior, complicate the structural and dynamic characteristics of information network traffic, which necessitates the development of new methods of research and modeling of information network traffic characteristics, including the involvement of mathematical apparatus from related fields , including statistical physics, computational mathematics, elements of graph theory, and several others. The article describes the analysis of the peculiarities of the statistical properties of the traffic of modern information networks. Existing mathematical models are described in the description of traffic of information networks. Their advantages and disadvantages are shown. An overview of analytical methods and universal models for describing the traffic of modern information networks is conducted. It is established that one of the promising directions is the use of statistical models based on normalized rank functions.
Опис
Ключові слова
інформаційна мережа, трафік, інформаційний потік, моделювання, модель, information network, traffic, information flow, modeling, model
Бібліографічний опис
Аналіз особливостей статистичних властивостей трафіку сучасних інформаційних мереж та підходів до моделювання інформаційних потоків [Текст] / Д. А. Макаришкін, Л. О. Ковтун, В. М. Ткачук, М. О. Кінаш // Вимірювальна та обчислювальна техніка в технологічних процесах. – 2019. – № 1. – C. 62-67.