The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dans cette lettre, nous proposons un modèle de trafic vidéo basé sur une classe de processus stochastiques, que nous appelons Geo tronqué.Y/G/∞ processus d’entrée. Les traces de taille de groupe d'images (GOP) sont modélisées par des données géographiques tronquées.YProcessus de saisie /G/∞ avec tailles de lots distribuées gamma Y et fonction d'autocorrélation de type Weibull. Avec des traces vidéo MPEG-4 complètes dans QCIF, nous exécutons des simulations pour montrer que notre modèle proposé estime les taux de perte de paquets à diverses charges de trafic avec plus de précision que les méthodes de modélisation existantes.
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Sang Hyuk KANG, Min Young CHUNG, Bara KIM, "Video Traffic Modeling by Truncated GeoY/G/∞ Input Process with Gamma-Distributed Batches Y" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 9, pp. 2980-2982, September 2008, doi: 10.1093/ietcom/e91-b.9.2980.
Abstract: In this letter, we propose a video traffic model based on a class of stochastic processes, which we call truncated GeoY/G/∞ input processes. Group of picture (GOP) size traces are modeled by truncated GeoY/G/∞ input process with gamma-distributed batch sizes Y and Weibull-like autocorrelation function. With full-length MPEG-4 video traces in QCIF, we run simulations to show that our proposed model estimates packet loss ratios at various traffic loads more accurately than existing modeling methods.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.9.2980/_p
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@ARTICLE{e91-b_9_2980,
author={Sang Hyuk KANG, Min Young CHUNG, Bara KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Video Traffic Modeling by Truncated GeoY/G/∞ Input Process with Gamma-Distributed Batches Y},
year={2008},
volume={E91-B},
number={9},
pages={2980-2982},
abstract={In this letter, we propose a video traffic model based on a class of stochastic processes, which we call truncated GeoY/G/∞ input processes. Group of picture (GOP) size traces are modeled by truncated GeoY/G/∞ input process with gamma-distributed batch sizes Y and Weibull-like autocorrelation function. With full-length MPEG-4 video traces in QCIF, we run simulations to show that our proposed model estimates packet loss ratios at various traffic loads more accurately than existing modeling methods.},
keywords={},
doi={10.1093/ietcom/e91-b.9.2980},
ISSN={1745-1345},
month={September},}
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TY - JOUR
TI - Video Traffic Modeling by Truncated GeoY/G/∞ Input Process with Gamma-Distributed Batches Y
T2 - IEICE TRANSACTIONS on Communications
SP - 2980
EP - 2982
AU - Sang Hyuk KANG
AU - Min Young CHUNG
AU - Bara KIM
PY - 2008
DO - 10.1093/ietcom/e91-b.9.2980
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2008
AB - In this letter, we propose a video traffic model based on a class of stochastic processes, which we call truncated GeoY/G/∞ input processes. Group of picture (GOP) size traces are modeled by truncated GeoY/G/∞ input process with gamma-distributed batch sizes Y and Weibull-like autocorrelation function. With full-length MPEG-4 video traces in QCIF, we run simulations to show that our proposed model estimates packet loss ratios at various traffic loads more accurately than existing modeling methods.
ER -