A Congestion-Aware Adaptive Streaming over ICN Combined with Explicit Congestion Notification for QoE Improvement

Rei NAKAGAWA; Satoshi OHZAHATA; Ryo YAMAMOTO; Toshihiko KATO

doi:10.1587/transinf.2020EDP7095

A Congestion-Aware Adaptive Streaming over ICN Combined with Explicit Congestion Notification for QoE Improvement

Rei NAKAGAWA, Satoshi OHZAHATA, Ryo YAMAMOTO, Toshihiko KATO

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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.

Publication: IEICE TRANSACTIONS on Information Vol.E104-D No.2 pp.264-274

Publication Date: 2021/02/01

Publicized: 2020/11/02

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2020EDP7095

Type of Manuscript: PAPER

Category: Information Network

Authors

Rei NAKAGAWA
  University of Electro-Communication
Satoshi OHZAHATA
  University of Electro-Communication
Ryo YAMAMOTO
  University of Electro-Communication
Toshihiko KATO
  University of Electro-Communication

Keyword

information centric networking, adaptive streaming, congestion control, quality of experience

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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},}

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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 -