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Paper Abstract and Keywords
Presentation 2019-07-18 13:00
[Poster Presentation] A Study on Pseudo Traffic Generation Using Machine Learning
Tetsuya Yamagiwa, Kohei Watabe, Kenji Nakagawa (Nagaoka Univ. of Tech.) CQ2019-38
Abstract (in Japanese) (See Japanese page) 
(in English) When we constructing a network, it is important to use a traffic generator that generates realistic traffic and perform load tests on network devices such servers.
However, it is difficult for traffic generators to generate pseudo traffic that reproduces the multi-aspect characteristics of actual traffic.
On the other hand, research on machine learning in the field of image processing has been developed.
In this paper, we propose a traffic generator with machine learning technology which utilizes a dimensional compression method.
The proposed method learns traffic data of any length and generates traffic.
The validity of the generated traffic is verified using Kolmogorov-Smirnov test as a performance measure, which tests the equality of two probability distributions.
We confirmed that a distribution of generated traffic was not far from that of the actual traffic data.
Keyword (in Japanese) (See Japanese page) 
(in English) Traffic generator / Machine learning / Generative adversarial networks / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 125, CQ2019-38, pp. 27-29, July 2019.
Paper # CQ2019-38 
Date of Issue 2019-07-11 (CQ) 
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 CQ2019-38

Conference Information
Committee CQ  
Conference Date 2019-07-18 - 2019-07-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Niigata Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Assessment, Measurement and Control of QoE and QoS, etc. 
Paper Information
Registration To CQ 
Conference Code 2019-07-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Pseudo Traffic Generation Using Machine Learning 
Sub Title (in English)  
Keyword(1) Traffic generator  
Keyword(2) Machine learning  
Keyword(3) Generative adversarial networks  
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1st Author's Name Tetsuya Yamagiwa  
1st Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech.)
2nd Author's Name Kohei Watabe  
2nd Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech.)
3rd Author's Name Kenji Nakagawa  
3rd Author's Affiliation Nagaoka University of Technology (Nagaoka Univ. of Tech.)
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Speaker Author-1 
Date Time 2019-07-18 13:00:00 
Presentation Time 90 minutes 
Registration for CQ 
Paper # CQ2019-38 
Volume (vol) vol.119 
Number (no) no.125 
Page pp.27-29 
#Pages 3 
Date of Issue 2019-07-11 (CQ) 

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