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Paper Abstract and Keywords
Presentation 2018-12-25 11:05
Network traffic prediction method considering chaos theory with TCP and UDP
Naoto Suzuki, Sumiko Miyata (SIT) MoNA2018-43
Abstract (in Japanese) (See Japanese page) 
(in English) With the diversification of streaming communication, we need to predict network traffic in a mixed environment of TCP and UDP. Therefore, various schemes for predicting streaming traffic flowing over a network have been proposed. However, these methods can only be applied to steady state traffic, and take much time to predict the traffic. On the other hand, since it is reported that the amount of Internet traffic always fluctuates greatly, the prediction should be made as shortly as possible. In this paper, it is pointed out that self-similarity which is characteristic of chaos can be seen in network traffic. Moreover, we show that network traffic can be predicted in the short term by using deterministic nonlinear nature. In addition, simulation is performed by using model for 30 client terminals and servers. We show that traffic data occurs chaos. Moreover, we show the effectiveness of this method by using proposed traffic prediction.
Keyword (in Japanese) (See Japanese page) 
(in English) Chaos Theory / Local Reconstruction / Traffic Prediction / Attractor / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 378, MoNA2018-43, pp. 25-30, Dec. 2018.
Paper # MoNA2018-43 
Date of Issue 2018-12-18 (MoNA) 
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 MoNA2018-43

Conference Information
Committee MoNA  
Conference Date 2018-12-25 - 2018-12-25 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To MoNA 
Conference Code 2018-12-MoNA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Network traffic prediction method considering chaos theory with TCP and UDP 
Sub Title (in English)  
Keyword(1) Chaos Theory  
Keyword(2) Local Reconstruction  
Keyword(3) Traffic Prediction  
Keyword(4) Attractor  
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1st Author's Name Naoto Suzuki  
1st Author's Affiliation Shibaura Institute of Technology (SIT)
2nd Author's Name Sumiko Miyata  
2nd Author's Affiliation Shibaura Institute of Technology (SIT)
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Speaker Author-1 
Date Time 2018-12-25 11:05:00 
Presentation Time 20 minutes 
Registration for MoNA 
Paper # MoNA2018-43 
Volume (vol) vol.118 
Number (no) no.378 
Page pp.25-30 
#Pages 6 
Date of Issue 2018-12-18 (MoNA) 

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