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Paper Abstract and Keywords
Presentation 2015-03-02 11:40
Hierarchical Traffic Engineering Based on Model Predictive Control
Tatsuya Otoshi, Yuichi Ohsita, Masayuki Murata (Osaka Univ.), Yousuke Takahashi, Keisuke Ishibashi, Kohei Shiomoto (NTT), Tomoaki Hashimoto (Osaka Univ.) IN2014-136
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.
To achieve the robustness against the prediction error, we proposed a traffic engineering method called Model Predictive Traffic Engineering (MP-TE) which is based on the idea of Model Predictive Control (MPC).
However, this method has difficulty in scalability.
In this method, a central control server repeatedly collects the whole traffic information to correct the traffic prediction and recalculate the whole routes at each time slot.
In accordance, load on the central control server significantly increases as the network becomes larger.
To solve the scalability problem, we propose a prediction-based hierarchical traffic engineering method in this paper.
In this method, we divide the network in multiple areas and aggregate the topology in each area as an upper layer topology.
Control servers are deployed in each area and upper layer to calculate the routes inner area and inter area, respectively.
By reducing the scale of the topology which one control server manages, the load on each control server is kept low even when the scale of network become large.
Through the simulation, we show that the proposal method can reduce the calculation time while the achieved performance is close to that of the centralized control.
Keyword (in Japanese) (See Japanese page) 
(in English) Model Predictive Control / Hierarchical Routing / Traffic Engineering / Traffic Prediction / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 478, IN2014-136, pp. 91-96, March 2015.
Paper # IN2014-136 
Date of Issue 2015-02-23 (IN) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee NS IN  
Conference Date 2015-03-02 - 2015-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2015-03-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Hierarchical Traffic Engineering Based on Model Predictive Control 
Sub Title (in English)  
Keyword(1) Model Predictive Control  
Keyword(2) Hierarchical Routing  
Keyword(3) Traffic Engineering  
Keyword(4) Traffic Prediction  
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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 Author-1 
Date Time 2015-03-02 11:40:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2014-136 
Volume (vol) vol.114 
Number (no) no.478 
Page pp.91-96 
#Pages
Date of Issue 2015-02-23 (IN) 


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