radioelectronicsИзвестия высших учебных заведений России. РадиоэлектроникаJournal of the Russian Universities. Radioelectronics1993-89852658-4794Saint Petersburg Electrotechnical Universityradioelectronics-153Research ArticleСИСТЕМЫ, СЕТИ И УСТРОЙСТВА ТЕЛЕКОММУНИКАЦИЙTELECOMMUNICATION SYSTEMS, NETWORKS AND DEVICESМодель сетевого трафика на основе суперпозиции однородных потоков пользовательских запросовNetwork Traffic Model Based on Superposition of Single User Requests FlowsДыкВьет НгуенDucViet Nguyen

аспирант по кафедре радиотехнических систем

Dipl.-engineer on radio electronic and telecommunication systems, post graduate student of the Department of Radio Equipment Systems

ndvietleti@gmail.comТамазянА. С.TamazianA. S.

магистр техники и технологии по направлению "Телекоммуникации", инженер II категории кафедры радиотехнических систем

Master’s Degree in telecommunications, 2nd category engineer of the Department o f Radio Equipment Systems

araik.tamazian@outlook.comСанкт-Петербургский государственный электротехнический университет "ЛЭТИ" им. В. И. Ульянова (Ленина)РоссияSaint Petersburg Electrotechnical University "LETI"Russian Federation201728022017014044Copyright © Дык В., Тамазян А.С., 20172017Дык В., Тамазян А.С.Duc V., Tamazian A.S.This work is licensed under a Creative Commons Attribution 4.0 License.https://re.eltech.ru/jour/article/view/153

Рассмотрено выделение пользовательских сессий из сетевого трафика. Выполнен статистический анализ межсессионных интервалов в канале инфокоммуникационной сети. Предложено описание распределений межсессионных интервалов q-экспоненциальным распределением. Предложена модель агрегированного трафика инфокоммуникационной сети на основе суперпозиции потоков данных коротких по длительности фрагментов трафика и доказана ее применимость на примере эмпирических данных.

User session extraction from network traffic data is considered. Statistical analysis of inter-session times of infocommunication network link was performed. Q-exponential distribution was proposed to describe the inter-session times distribution. Aggregated traffic model of infocommunication network link based on superposition of short-term traffic fragments data was suggested. The aggregated traffic model was verified by means of empirical traffic data.

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The authors declare that there are no conflicts of interest present.