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Paper Abstract and Keywords
Presentation 2014-11-18 13:30
Evaluation of Traffic Engineering Based on Model Predictive Control Using Traffic Trace in Actual Network
Tatsuya Otoshi, Yuichi Ohsita, Masayuki Murata (Osaka Univ.), Yousuke Takahashi, Keisuke Ishibashi, Kohei Shiomoto (NTT), Tomoaki Hashimoto (Osaka Univ.) IN2014-81
Abstract (in Japanese) (See Japanese page) 
(in English) Traffic engineering with traffic prediction is one approach to accommodate time-varying traffic stably. In this approach, the routes are calculated so as to avoid congestion based on the predicted traffic. However, predicted traffic includes prediction errors.We proposed a traffic engineering method with traffic prediction, which is robust to prediction errors. To achieve the robust control against the prediction errors, our method uses the idea of the Stochastic Model Predictive Control(SMPC), which is a method of process control with predicting the system dynamics. Using the probability distribution of prediction error, our method calculates the routes so that the occurrence probability of congestion is kept lower than a desired level. Through simulation with the actual traffic trace, we clarify that our method avoids the congestion even if the predicted traffic includes errors.
Keyword (in Japanese) (See Japanese page) 
(in English) Stochastic Model Predictive Control / Traffic Egnieering / Traffic Prediction / Multi-path Routing / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 307, IN2014-81, pp. 1-6, Nov. 2014.
Paper # IN2014-81 
Date of Issue 2014-11-11 (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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee IN MoNA  
Conference Date 2014-11-18 - 2014-11-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Simonosekishi-Kinro-Fukushi-Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Ubiquitous Network, BYOD, M2M, Contextware, Mobile Social Service, Mobile Service on Virtualization Environment, Mobile Offload, etc. 
Paper Information
Registration To IN 
Conference Code 2014-11-IN-MoNA 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of Traffic Engineering Based on Model Predictive Control Using Traffic Trace in Actual Network 
Sub Title (in English)  
Keyword(1) Stochastic Model Predictive Control  
Keyword(2) Traffic Egnieering  
Keyword(3) Traffic Prediction  
Keyword(4) Multi-path Routing  
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1st Author's Name Tatsuya Otoshi  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Yuichi Ohsita  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Masayuki Murata  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Yousuke Takahashi  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
5th Author's Name Keisuke Ishibashi  
5th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
6th Author's Name Kohei Shiomoto  
6th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
7th Author's Name Tomoaki Hashimoto  
7th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker
Date Time 2014-11-18 13:30:00 
Presentation Time 25 
Registration for IN 
Paper # IEICE-IN2014-81 
Volume (vol) IEICE-114 
Number (no) no.307 
Page pp.1-6 
#Pages IEICE-6 
Date of Issue IEICE-IN-2014-11-11 


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