Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2017-11-16 15:20
Virtual Network Reconfiguration Based on Bayesian Attractor Model with Linear Regression
Toshihiko Ohba, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) PN2017-37
Abstract (in Japanese) (See Japanese page) 
(in English) A typical approach for configuring a virtual network (VN) over an optical network is to design an optimal VN 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.
We have previously proposed a bayesian-approach for VN reconfiguration without using the traffic demand matrix.
The approach memorizes a set of ``good" VNs, each of which works well for a certain traffic situation, and identify the current traffic situation using Bayesian inference, and then retrieve one of the VNs suitable for the current traffic situation.
We use the amounts of outgoing/incoming traffic at edge routers as the traffic situation.
However, this approach has difficulty in dealing with the case when the identification of the traffic situation fails.
In this paper, we develop a VN reconfiguration method to deal with this case.
In our method, the current traffic situation is fitted by linear regression, and then our method designs a VN using the obtained regression coefficients.
Evaluation results show that our method can design a VN suitable for the current traffic demand when the identification of the traffic situation fails.
We also discuss how to select and update the set of pre-specified traffic situations, and found that it is effective to select a set of traffic situations to have linear independence.
Keyword (in Japanese) (See Japanese page) 
(in English) Virtual Network Reconfiguration / Bayesian Attractor Model / Linear Regression / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 298, PN2017-37, pp. 57-63, Nov. 2017.
Paper # PN2017-37 
Date of Issue 2017-11-08 (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 PN2017-37

Conference Information
Committee PN  
Conference Date 2017-11-15 - 2017-11-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Kogakuin Univ. 
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 2017-11-PN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Virtual Network Reconfiguration Based on Bayesian Attractor Model with Linear Regression 
Sub Title (in English)  
Keyword(1) Virtual Network Reconfiguration  
Keyword(2) Bayesian Attractor Model  
Keyword(3) Linear Regression  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
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.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2017-11-16 15:20:00 
Presentation Time 25 minutes 
Registration for PN 
Paper # PN2017-37 
Volume (vol) vol.117 
Number (no) no.298 
Page pp.57-63 
#Pages 7 
Date of Issue 2017-11-08 (PN) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan