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Paper Abstract and Keywords
Presentation 2016-11-17 15:05
A Bayesian-based Virtual Network Reconfiguration in Elastic Optical Path Networks
Toshihiko Ohba, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) PN2016-33
Abstract (in Japanese) (See Japanese page) 
(in English) A typical approach for constructing/reconfiguring a virtual network (VN) is to design an optimal topology and the amount of resources with a knowledge of the end-to-end traffic demand matrix. However, it is difficult to configure the optimal VN using the traffic demand matrix in a changing environment. In this paper, we develop a VN reconfiguration framework without using the traffic demand matrix. Our basic idea is to memorize a set of ``good" VNs, each of which works well for a certain traffic situation, and then retrieve one of the VNs suitable for the current traffic situation. In order to identify the current traffic situation, we apply a concept of Bayesian inference. We use the amounts of outgoing/incoming traffic at edge routers as the traffic information, which are available more easily than the traffic demand matrix. Furthermore, for a case where the performance of the VN is not adequate even though the identification succeeds, we incorporate a noise-induced VN reconfiguration method with our framework. Evaluation results show that our method can identify the traffic situation using the amounts of outgoing/incoming traffic at edge routers, which are available more easily than the traffic demand matrix, and successfully decreases the number of VN reconfiguration to reach a VN suitable for the traffic situation.
Keyword (in Japanese) (See Japanese page) 
(in English) Elastic Optical Network / Virtual Network Reconfiguration / Bayesian Inference / Bayesian Attractor Model / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 307, PN2016-33, pp. 45-50, Nov. 2016.
Paper # PN2016-33 
Date of Issue 2016-11-10 (PN) 
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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
Download PDF PN2016-33

Conference Information
Committee PN  
Conference Date 2016-11-17 - 2016-11-18 
Place (in Japanese) (See Japanese page) 
Place (in English) KDDI Research, Inc. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Elastic Optical Networks, Flexible Networks, Optical Network Control/Protocol, Transport SDN, IP Backbone, SDM, Mode Division Multiplexing, Photonic Network Devices, JPN Model, EXAT, etc. 
Paper Information
Registration To PN 
Conference Code 2016-11-PN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Bayesian-based Virtual Network Reconfiguration in Elastic Optical Path Networks 
Sub Title (in English)  
Keyword(1) Elastic Optical Network  
Keyword(2) Virtual Network Reconfiguration  
Keyword(3) Bayesian Inference  
Keyword(4) Bayesian Attractor Model  
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1st Author's Name Toshihiko Ohba  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Shin'ichi Arakawa  
2nd Author's Affiliation Osaka University (Osaka Univ.)
3rd Author's Name Masayuki Murata  
3rd Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2016-11-17 15:05:00 
Presentation Time 25 minutes 
Registration for PN 
Paper # PN2016-33 
Volume (vol) vol.116 
Number (no) no.307 
Page pp.45-50 
#Pages 6 
Date of Issue 2016-11-10 (PN) 

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