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| Presentation | 2018-03-05 14:55 [Invited Lecture] Virtual Network Reconfiguration Based on Bayesian Attractor Selection Model for Optical Networks Toshihiko Ohba, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.)  PN2017-96 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | One of approaches to accommodating traffic demand on an optical network is to configure a virtual network (VN), and reconfigure the VN in response to traffic changes and thereby resolve traffic congestion. A prevalent approach for VN reconfiguration designs 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. A promising solution to tackle the challenge is to develop cognitive optical networks, which are optical networks that can perceive network conditions and act on those conditions, and learn from these adaptations and use them for future decisions. We have previously proposed a VN reconfiguration framework based on the Bayesian Attractor Model (BAM), which represents human perceptual decision making. Our VN reconfiguration framework perceives current traffic situation by observing the amount of incoming and outgoing traffic at edge routers, which can be easily obtained than the traffic demand matrix, and configures a suitable VN following traffic changes. In this paper, we introduce the characteristics and the advantages of our VN reconfiguration framework, and future directions for the BAM-based VN reconfiguration approach. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Virtual Network Reconfiguration / Cognitive Optical Networking / Bayesian Attractor Model / Linear Regression / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 473, PN2017-96, pp. 31-38, March 2018. | |
| Paper # | PN2017-96 | |
| Date of Issue | 2018-02-26 (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 | PN2017-96 |
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| Conference Information | |
| Committee | PN |
| Conference Date | 2018-03-05 - 2018-03-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Minami Tanemachi Shoko Kaikan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Photonic network technologies, etc. |
| Paper Information | |
| Registration To | PN |
| Conference Code | 2018-03-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 Selection Model for Optical Networks |
| Sub Title (in English) | |
| Keyword(1) | Virtual Network Reconfiguration |
| Keyword(2) | Cognitive Optical Networking |
| Keyword(3) | Bayesian Attractor Model |
| Keyword(4) | 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 |
| 3rd Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-03-05 14:55:00 |
| Presentation Time | 25 minutes |
| Registration for | PN |
| Paper # | PN2017-96 |
| Volume (vol) | vol.117 |
| Number (no) | no.473 |
| Page | pp.31-38 |
| #Pages | 8 |
| Date of Issue | 2018-02-26 (PN) |
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