Network Traffic Model Based on Superposition of Single User Requests Flows

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 networ...

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Bibliographic Details
Main Authors: Viet Nguyen Duc, A. S. Tamazian
Format: Article
Language:Russian
Published: Saint Petersburg Electrotechnical University "LETI" 2017-02-01
Series:Известия высших учебных заведений России: Радиоэлектроника
Subjects:
Online Access:https://re.eltech.ru/jour/article/view/153
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author Viet Nguyen Duc
A. S. Tamazian
author_facet Viet Nguyen Duc
A. S. Tamazian
author_sort Viet Nguyen Duc
collection DOAJ
description 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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spelling doaj.art-8bc30dea169f4785bf02e0a3152e9a6f2025-03-02T10:13:08ZrusSaint Petersburg Electrotechnical University "LETI"Известия высших учебных заведений России: Радиоэлектроника1993-89852658-47942017-02-01014044153Network Traffic Model Based on Superposition of Single User Requests FlowsViet Nguyen Duc0A. S. Tamazian1Saint Petersburg Electrotechnical University "LETI"Saint Petersburg Electrotechnical University "LETI"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.https://re.eltech.ru/jour/article/view/153infocommunication networknetwork linknetwork trafficmodelingsuperposition
spellingShingle Viet Nguyen Duc
A. S. Tamazian
Network Traffic Model Based on Superposition of Single User Requests Flows
Известия высших учебных заведений России: Радиоэлектроника
infocommunication network
network link
network traffic
modeling
superposition
title Network Traffic Model Based on Superposition of Single User Requests Flows
title_full Network Traffic Model Based on Superposition of Single User Requests Flows
title_fullStr Network Traffic Model Based on Superposition of Single User Requests Flows
title_full_unstemmed Network Traffic Model Based on Superposition of Single User Requests Flows
title_short Network Traffic Model Based on Superposition of Single User Requests Flows
title_sort network traffic model based on superposition of single user requests flows
topic infocommunication network
network link
network traffic
modeling
superposition
url https://re.eltech.ru/jour/article/view/153
work_keys_str_mv AT vietnguyenduc networktrafficmodelbasedonsuperpositionofsingleuserrequestsflows
AT astamazian networktrafficmodelbasedonsuperpositionofsingleuserrequestsflows