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Paper Abstract and Keywords
Presentation 2017-03-02 09:50
Traffic observation scheduling method in network control using predictive distribution
Kodai Satake, Tatsuya Otoshi, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2016-100
Abstract (in Japanese) (See Japanese page) 
(in English) Traffic Engineering (TE) is effective for accommodating traffic without congestion even when traffic fluctuate drastically. Traffic engineering dynamically optimizes the routes following the traffic changes.
In the existing TE method, it is assumed that we can obtain accurate observational data about all traffic in the network.
However,obtaining data form all nodes in the network may cause a large overhead.
To solve this, a network control method that works even if only a limited observation can be obtained at each time slot.
We propose a method to collect the data that has a large impact of the TE at each time slot.
By collecting such data, we can control the routes properly, even if only a limited number of data can be collected at each time slot.
In this paper, through simulation using actual traffic trace data, we clarify that our method avoids congestion even if only a limited number of data is obtained at each time slot.
Keyword (in Japanese) (See Japanese page) 
(in English) Observation Scheduling / Traffic Engineering / Observation Load / Predictive Distribution / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 485, IN2016-100, pp. 19-24, March 2017.
Paper # IN2016-100 
Date of Issue 2017-02-23 (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. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IN2016-100

Conference Information
Committee NS IN  
Conference Date 2017-03-02 - 2017-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) OKINAWA ZANPAMISAKI ROYAL HOTEL 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2017-03-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Traffic observation scheduling method in network control using predictive distribution 
Sub Title (in English)  
Keyword(1) Observation Scheduling  
Keyword(2) Traffic Engineering  
Keyword(3) Observation Load  
Keyword(4) Predictive Distribution  
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1st Author's Name Kodai Satake  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Tatsuya Otoshi  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Yuichi Ohsita  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Masayuki Murata  
4th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2017-03-02 09:50:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2016-100 
Volume (vol) vol.116 
Number (no) no.485 
Page pp.19-24 
#Pages 6 
Date of Issue 2017-02-23 (IN) 

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