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. |
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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) |
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Virtual Network Reconfiguration |
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Bayesian Attractor Model |
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Linear Regression |
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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 |
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Osaka University (Osaka Univ.) |
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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) |
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