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
Récemment, le streaming adaptatif sur un réseau centré sur l'information (ICN) a attiré l'attention. Dans le streaming adaptatif sur ICN, l'adaptation du débit binaire du client surestime souvent un débit binaire pour la bande passante disponible en raison de la congestion, car le client estime implicitement l'état de congestion à partir des procédures de téléchargement de contenu d'ICN. En conséquence, un débit binaire surestimé en streaming entraîne une dégradation de la QoE des clients, telle qu'un temps de blocage et une variation fréquente du débit binaire. Dans cet article, nous proposons un streaming adaptatif tenant compte de la congestion sur ICN combiné à la notification explicite de congestion (CAAS avec ECN) pour éviter la dégradation de la QoE. CAAS avec ECN encourage un retour explicite de la congestion détectée dans le routeur sur le chemin de communication et introduit la bande supérieure du débit binaire sélectionnable (bitrate-cap) sur la base d'un retour explicite du routeur sur l'adaptation du débit binaire des clients. Nous évaluons l'efficacité du CAAS avec ECN pour la dégradation de la QoE du client en raison de la congestion et du comportement sur les métriques de QoS basées sur le débit. Les expériences de simulation montrent que l'ajustement du débit binaire pour tous les clients améliore la dégradation de la QoE et l'équité de la QoE grâce à un évitement efficace des congestions.
Rei NAKAGAWA
University of Electro-Communication
Satoshi OHZAHATA
University of Electro-Communication
Ryo YAMAMOTO
University of Electro-Communication
Toshihiko KATO
University of Electro-Communication
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Rei NAKAGAWA, Satoshi OHZAHATA, Ryo YAMAMOTO, Toshihiko KATO, "A Congestion-Aware Adaptive Streaming over ICN Combined with Explicit Congestion Notification for QoE Improvement" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 2, pp. 264-274, February 2021, doi: 10.1587/transinf.2020EDP7095.
Abstract: Recently, adaptive streaming over information centric network (ICN) has attracted attention. In adaptive streaming over ICN, the bitrate adaptation of the client often overestimates a bitrate for available bandwidth due to congestion because the client implicitly estimates congestion status from the content download procedures of ICN. As a result, streaming overestimated bitrate results in QoE degradation of clients such as cause of a stall time and frequent variation of the bitrate. In this paper, we propose a congestion-aware adaptive streaming over ICN combined with the explicit congestion notification (CAAS with ECN) to avoid QoE degradation. CAAS with ECN encourages explicit feedback of congestion detected in the router on the communication path, and introduces the upper band of the selectable bitrate (bitrate-cap) based on explicit feedback from the router to the bitrate adaptation of the clients. We evaluate the effectiveness of CAAS with ECN for client's QoE degradation due to congestion and behavior on the QoS metrics based on throughput. The simulation experiments show that the bitrate adjustment for all the clients improves QoE degradation and QoE fairness due to effective congestion avoidance.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDP7095/_p
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@ARTICLE{e104-d_2_264,
author={Rei NAKAGAWA, Satoshi OHZAHATA, Ryo YAMAMOTO, Toshihiko KATO, },
journal={IEICE TRANSACTIONS on Information},
title={A Congestion-Aware Adaptive Streaming over ICN Combined with Explicit Congestion Notification for QoE Improvement},
year={2021},
volume={E104-D},
number={2},
pages={264-274},
abstract={Recently, adaptive streaming over information centric network (ICN) has attracted attention. In adaptive streaming over ICN, the bitrate adaptation of the client often overestimates a bitrate for available bandwidth due to congestion because the client implicitly estimates congestion status from the content download procedures of ICN. As a result, streaming overestimated bitrate results in QoE degradation of clients such as cause of a stall time and frequent variation of the bitrate. In this paper, we propose a congestion-aware adaptive streaming over ICN combined with the explicit congestion notification (CAAS with ECN) to avoid QoE degradation. CAAS with ECN encourages explicit feedback of congestion detected in the router on the communication path, and introduces the upper band of the selectable bitrate (bitrate-cap) based on explicit feedback from the router to the bitrate adaptation of the clients. We evaluate the effectiveness of CAAS with ECN for client's QoE degradation due to congestion and behavior on the QoS metrics based on throughput. The simulation experiments show that the bitrate adjustment for all the clients improves QoE degradation and QoE fairness due to effective congestion avoidance.},
keywords={},
doi={10.1587/transinf.2020EDP7095},
ISSN={1745-1361},
month={February},}
Copier
TY - JOUR
TI - A Congestion-Aware Adaptive Streaming over ICN Combined with Explicit Congestion Notification for QoE Improvement
T2 - IEICE TRANSACTIONS on Information
SP - 264
EP - 274
AU - Rei NAKAGAWA
AU - Satoshi OHZAHATA
AU - Ryo YAMAMOTO
AU - Toshihiko KATO
PY - 2021
DO - 10.1587/transinf.2020EDP7095
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2021
AB - Recently, adaptive streaming over information centric network (ICN) has attracted attention. In adaptive streaming over ICN, the bitrate adaptation of the client often overestimates a bitrate for available bandwidth due to congestion because the client implicitly estimates congestion status from the content download procedures of ICN. As a result, streaming overestimated bitrate results in QoE degradation of clients such as cause of a stall time and frequent variation of the bitrate. In this paper, we propose a congestion-aware adaptive streaming over ICN combined with the explicit congestion notification (CAAS with ECN) to avoid QoE degradation. CAAS with ECN encourages explicit feedback of congestion detected in the router on the communication path, and introduces the upper band of the selectable bitrate (bitrate-cap) based on explicit feedback from the router to the bitrate adaptation of the clients. We evaluate the effectiveness of CAAS with ECN for client's QoE degradation due to congestion and behavior on the QoS metrics based on throughput. The simulation experiments show that the bitrate adjustment for all the clients improves QoE degradation and QoE fairness due to effective congestion avoidance.
ER -