Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2019-09-05 14:05
A Study on Estimating Communication Delays using Graph Convolutional Networks with Semi-Supervised Learning
Taisei Suzuki, Yuichi Yasuda, Ryo Nakamura, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2019-10
Abstract (in Japanese) (See Japanese page) 
(in English) In large-scale communication networks consisting of many end hosts and routers, accurate acquisition, measurement, and estimation of communication delays between node pairs are essential for providing high-quality communication services. In several QoS-related performance metrics such as metrics for efficiency, metrics for availability, metrics for reliability,communication delay is one of the key metrics to realize several traffic control mechanisms. Conventional instrumentation and measurement techniques are suitable when the size of the network to be measured is relatively small, or when the number of node pairs to be measured is relatively small. However, in evolving and complex networks, it is not trivial to acquire, measure, and estimate the communication quality at a huge number of routers and end hosts. In this paper, as an initial step toward the realization of estimating communication quality (especially communication delays between node pairs) in a large-scale network, we investigate the potential of graph neural networks with semi-supervised learning for estimating communication delays between node pairs. Our findings include that the average relative error of estimated communication delays is around 10--35% depending on the fraction of the number of measurement nodes, and that communication delays for large-scale networks can be estimated with a high accuracy even if the fraction of the number of measurement nodes is not so large.
Keyword (in Japanese) (See Japanese page) 
(in English) Graph Convolutional Network / Delay Estimation / Neural Network / Semi-Supervised Learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 197, IA2019-10, pp. 1-6, Sept. 2019.
Paper # IA2019-10 
Date of Issue 2019-08-29 (IA) 
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)
Download PDF IA2019-10

Conference Information
Committee IA  
Conference Date 2019-09-05 - 2019-09-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. Humanities and Social Sciences Classroom Bldg, W102 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Internet Operation and Management, etc. 
Paper Information
Registration To IA 
Conference Code 2019-09-IA 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Estimating Communication Delays using Graph Convolutional Networks with Semi-Supervised Learning 
Sub Title (in English)  
Keyword(1) Graph Convolutional Network  
Keyword(2) Delay Estimation  
Keyword(3) Neural Network  
Keyword(4) Semi-Supervised Learning  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Taisei Suzuki  
1st Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
2nd Author's Name Yuichi Yasuda  
2nd Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
3rd Author's Name Ryo Nakamura  
3rd Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
4th Author's Name Hiroyuki Ohsaki  
4th Author's Affiliation Kwansei Gakuin University (Kwansei Gakuin Univ.)
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2019-09-05 14:05:00 
Presentation Time 25 minutes 
Registration for IA 
Paper # IA2019-10 
Volume (vol) vol.119 
Number (no) no.197 
Page pp.1-6 
#Pages 6 
Date of Issue 2019-08-29 (IA) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan