Paper Abstract and Keywords |
Presentation |
2020-01-24 15:50
[Encouragement Talk]
In-network video QoE estimation method exploiting error characteristics of OpenFlow statistics Shumpei Shimokawa (Kyutech), Yuzo Taenaka (NAIST), Kazuya Tsukamoto (Kyutech) NS2019-174 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Toward efficient resource utilization, we have been tackling a SDN-enabled flow control considering application QoE. QoE helps us to handle application flows with the same basis even multiple different applications coexist on network. In this study, we estimate QoE of video streaming application based on the statistical information obtained from OpenFlow. The previous study showed that the packet loss rate is a key factor to estimate QoE on video streaming application, and proposed QoE estimation method which corrected measurement errors of OpenFlow. On the other hand, since the estimation accuracy of the previous method becomes worse in case of packet losses happening, in this study, we propose an improved QoE estimation method for video streaming that can distinguish between measurement errors and packet losses by exploiting the trend of occurrence in measurement errors. Through experiments, we showed that our proposed method can provide an QoE estimation even under the packet loss environments. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
QoE estimation / Video streaming / Experiment / OpenFlow / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 383, NS2019-174, pp. 79-84, Jan. 2020. |
Paper # |
NS2019-174 |
Date of Issue |
2020-01-16 (NS) |
ISSN |
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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NS2019-174 |
Conference Information |
Committee |
NS NWS |
Conference Date |
2020-01-23 - 2020-01-24 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
|
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Network software (Software architecture, Middleware), Network application, SOA/SDP, NGN/IMS/API, Distributed control/Dynamic routing, Grid, NFV, IoT, Network/System reliability, Network/System evaluation, etc. |
Paper Information |
Registration To |
NS |
Conference Code |
2020-01-NS-NWS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
In-network video QoE estimation method exploiting error characteristics of OpenFlow statistics |
Sub Title (in English) |
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Keyword(1) |
QoE estimation |
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Video streaming |
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Experiment |
Keyword(4) |
OpenFlow |
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1st Author's Name |
Shumpei Shimokawa |
1st Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
2nd Author's Name |
Yuzo Taenaka |
2nd Author's Affiliation |
Nara Institute of Science and Technology (NAIST) |
3rd Author's Name |
Kazuya Tsukamoto |
3rd Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
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Speaker |
Author-1 |
Date Time |
2020-01-24 15:50:00 |
Presentation Time |
25 minutes |
Registration for |
NS |
Paper # |
NS2019-174 |
Volume (vol) |
vol.119 |
Number (no) |
no.383 |
Page |
pp.79-84 |
#Pages |
6 |
Date of Issue |
2020-01-16 (NS) |
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