Modelling the Probability Density Function of IPTV Traffic Packet Delay Variation

This article deals with modelling the Probability density function of IPTV traffic packet delay variation. The use of this modelling is in an efficient de-jitter buffer estimation. When an IP packet travels across a network, it experiences delay and its variation. This variation is caused by routing...

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Bibliographic Details
Main Authors: Michal Halas, Stanislav Klucik
Format: Article
Language:English
Published: VSB-Technical University of Ostrava 2012-01-01
Series:Advances in Electrical and Electronic Engineering
Subjects:
Online Access:http://advances.utc.sk/index.php/AEEE/article/view/726
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author Michal Halas
Stanislav Klucik
author_facet Michal Halas
Stanislav Klucik
author_sort Michal Halas
collection DOAJ
description This article deals with modelling the Probability density function of IPTV traffic packet delay variation. The use of this modelling is in an efficient de-jitter buffer estimation. When an IP packet travels across a network, it experiences delay and its variation. This variation is caused by routing, queueing systems and other influences like the processing delay of the network nodes. When we try to separate these at least three types of delay variation, we need a way to measure these types separately. This work is aimed to the delay variation caused by queueing systems which has the main implications to the form of the Probability density function.
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spelling doaj.art-a15b54483ba044959eb4ad08abd93bbc2023-05-14T20:50:08ZengVSB-Technical University of OstravaAdvances in Electrical and Electronic Engineering1336-13761804-31192012-01-0110425926310.15598/aeee.v10i4.726551Modelling the Probability Density Function of IPTV Traffic Packet Delay VariationMichal Halas0Stanislav Klucik1Department of Telecommunications Faculty of Electrical Engineering and Information Technology Slovak University of Technology BratislavaDepartment of Telecommunications Faculty of Electrical Engineering and Information Technology Slovak University of Technology BratislavaThis article deals with modelling the Probability density function of IPTV traffic packet delay variation. The use of this modelling is in an efficient de-jitter buffer estimation. When an IP packet travels across a network, it experiences delay and its variation. This variation is caused by routing, queueing systems and other influences like the processing delay of the network nodes. When we try to separate these at least three types of delay variation, we need a way to measure these types separately. This work is aimed to the delay variation caused by queueing systems which has the main implications to the form of the Probability density function.http://advances.utc.sk/index.php/AEEE/article/view/726iptvpacket delay variationpdvqos.
spellingShingle Michal Halas
Stanislav Klucik
Modelling the Probability Density Function of IPTV Traffic Packet Delay Variation
Advances in Electrical and Electronic Engineering
iptv
packet delay variation
pdv
qos.
title Modelling the Probability Density Function of IPTV Traffic Packet Delay Variation
title_full Modelling the Probability Density Function of IPTV Traffic Packet Delay Variation
title_fullStr Modelling the Probability Density Function of IPTV Traffic Packet Delay Variation
title_full_unstemmed Modelling the Probability Density Function of IPTV Traffic Packet Delay Variation
title_short Modelling the Probability Density Function of IPTV Traffic Packet Delay Variation
title_sort modelling the probability density function of iptv traffic packet delay variation
topic iptv
packet delay variation
pdv
qos.
url http://advances.utc.sk/index.php/AEEE/article/view/726
work_keys_str_mv AT michalhalas modellingtheprobabilitydensityfunctionofiptvtrafficpacketdelayvariation
AT stanislavklucik modellingtheprobabilitydensityfunctionofiptvtrafficpacketdelayvariation