IEICE TRANSACTIONS on Information
A Failsoft Scheme for Mobile Live Streaming by Scalable Video Coding
Summary :
In this study, we propose a mechanism called adaptive failsoft control to address peak traffic in mobile live streaming, using a chasing playback function. Although a cache system is avaliable to support the chasing playback function for live streaming in a base station and device-to-device communication, the request concentration by highlight scenes influences the traffic load owing to data unavailability. To avoid data unavailability, we adapted two live streaming features: (1) streaming data while switching the video quality, and (2) time variability of the number of requests. The second feature enables a fallback mechanism for the cache system by prioritizing cache eviction and terminating the transfer of cache-missed requests. This paper discusses the simulation results of the proposed mechanism, which adopts a request model appropriate for (a) avoiding peak traffic and (b) maintaining continuity of service.
- Publication
- IEICE TRANSACTIONS on Information Vol.E104-D No.12 pp.2121-2130
- Publication Date
- 2021/12/01
- Publicized
- 2021/09/08
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2021PAP0015
- Type of Manuscript
- Special Section PAPER (Special Section on Parallel, Distributed, and Reconfigurable Computing, and Networking)
- Category
Authors
Hiroki OKADA
The University of Electro-Communications,TIS Inc.
Masato YOSHIMI
TIS Inc.
Celimuge WU
The University of Electro-Communications
Tsutomu YOSHINAGA
The University of Electro-Communications
Keyword
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Hiroki OKADA, Masato YOSHIMI, Celimuge WU, Tsutomu YOSHINAGA, "A Failsoft Scheme for Mobile Live Streaming by Scalable Video Coding" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 12, pp. 2121-2130, December 2021, doi: 10.1587/transinf.2021PAP0015.
Abstract: In this study, we propose a mechanism called adaptive failsoft control to address peak traffic in mobile live streaming, using a chasing playback function. Although a cache system is avaliable to support the chasing playback function for live streaming in a base station and device-to-device communication, the request concentration by highlight scenes influences the traffic load owing to data unavailability. To avoid data unavailability, we adapted two live streaming features: (1) streaming data while switching the video quality, and (2) time variability of the number of requests. The second feature enables a fallback mechanism for the cache system by prioritizing cache eviction and terminating the transfer of cache-missed requests. This paper discusses the simulation results of the proposed mechanism, which adopts a request model appropriate for (a) avoiding peak traffic and (b) maintaining continuity of service.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2021PAP0015/_p
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@ARTICLE{e104-d_12_2121,
author={Hiroki OKADA, Masato YOSHIMI, Celimuge WU, Tsutomu YOSHINAGA, },
journal={IEICE TRANSACTIONS on Information},
title={A Failsoft Scheme for Mobile Live Streaming by Scalable Video Coding},
year={2021},
volume={E104-D},
number={12},
pages={2121-2130},
abstract={In this study, we propose a mechanism called adaptive failsoft control to address peak traffic in mobile live streaming, using a chasing playback function. Although a cache system is avaliable to support the chasing playback function for live streaming in a base station and device-to-device communication, the request concentration by highlight scenes influences the traffic load owing to data unavailability. To avoid data unavailability, we adapted two live streaming features: (1) streaming data while switching the video quality, and (2) time variability of the number of requests. The second feature enables a fallback mechanism for the cache system by prioritizing cache eviction and terminating the transfer of cache-missed requests. This paper discusses the simulation results of the proposed mechanism, which adopts a request model appropriate for (a) avoiding peak traffic and (b) maintaining continuity of service.},
keywords={},
doi={10.1587/transinf.2021PAP0015},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - A Failsoft Scheme for Mobile Live Streaming by Scalable Video Coding
T2 - IEICE TRANSACTIONS on Information
SP - 2121
EP - 2130
AU - Hiroki OKADA
AU - Masato YOSHIMI
AU - Celimuge WU
AU - Tsutomu YOSHINAGA
PY - 2021
DO - 10.1587/transinf.2021PAP0015
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2021
AB - In this study, we propose a mechanism called adaptive failsoft control to address peak traffic in mobile live streaming, using a chasing playback function. Although a cache system is avaliable to support the chasing playback function for live streaming in a base station and device-to-device communication, the request concentration by highlight scenes influences the traffic load owing to data unavailability. To avoid data unavailability, we adapted two live streaming features: (1) streaming data while switching the video quality, and (2) time variability of the number of requests. The second feature enables a fallback mechanism for the cache system by prioritizing cache eviction and terminating the transfer of cache-missed requests. This paper discusses the simulation results of the proposed mechanism, which adopts a request model appropriate for (a) avoiding peak traffic and (b) maintaining continuity of service.
ER -
English
