Paper Abstract and Keywords |
Presentation |
2017-12-15 16:35
Design of Resource-aware Streaming Data Quality Controller Using Reinforcement Learning Makoto Oide, Toru Abe, Takuo Suganuma (Tohoku Univ.) IN2017-66 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The live streaming service provides quality of service according to available network resources.
Therefore, it is difficult to provide services adaptable to diversified high-quality contents and low resource terminals.
In this research, we propose a streaming data quality control method considering the environment using various contents and services in order to realize the live streaming service with quality adapted to the terminal to avoid interruption and delay during playing streams.
In this paper, we design a resource-aware streaming data quality controller which determines the appropriate streaming data quality by learning the characteristics of streaming data and available computational and network resources of terminals. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Video quality control / Resource-aware / Reinforcement learning / Edge computing / Live streamig / MPEG-DASH / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 353, IN2017-66, pp. 121-126, Dec. 2017. |
Paper # |
IN2017-66 |
Date of Issue |
2017-12-07 (IN) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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IN2017-66 |
Conference Information |
Committee |
IA IN |
Conference Date |
2017-12-14 - 2017-12-15 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hiroshima City Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Performance Analysis and Simulation, Robustness, Traffic and Throughput Measurement, Quality of Service (QoS) Control, Congestion Control, Overlay Network/P2P, IPv6, Multicast, Routing, DDoS, etc. |
Paper Information |
Registration To |
IN |
Conference Code |
2017-12-IA-IN |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Design of Resource-aware Streaming Data Quality Controller Using Reinforcement Learning |
Sub Title (in English) |
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Keyword(1) |
Video quality control |
Keyword(2) |
Resource-aware |
Keyword(3) |
Reinforcement learning |
Keyword(4) |
Edge computing |
Keyword(5) |
Live streamig |
Keyword(6) |
MPEG-DASH |
Keyword(7) |
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Keyword(8) |
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1st Author's Name |
Makoto Oide |
1st Author's Affiliation |
Tohoku University (Tohoku Univ.) |
2nd Author's Name |
Toru Abe |
2nd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
3rd Author's Name |
Takuo Suganuma |
3rd Author's Affiliation |
Tohoku University (Tohoku Univ.) |
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Speaker |
Author-1 |
Date Time |
2017-12-15 16:35:00 |
Presentation Time |
25 minutes |
Registration for |
IN |
Paper # |
IN2017-66 |
Volume (vol) |
vol.117 |
Number (no) |
no.353 |
Page |
pp.121-126 |
#Pages |
6 |
Date of Issue |
2017-12-07 (IN) |
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