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Paper Abstract and Keywords
Presentation 2017-03-03 11:40
Reconstruction of Virtual Network by Bayesian Attractor Model
Tatsuya Otoshi, Yuichi Ohshita, Masayuki Murata (Osaka Univ.) IN2016-129
Abstract (in Japanese) (See Japanese page) 
(in English) Network Virtualization is expected to handle the various network traffic induced by such as IoT applications because a virtual network can be constructed adaptively to each type of applications.
Since the traffic patterns changes with time, the virtual network should be reconstructed dynamically to accommodate increasing traffic and to release the unused resources.
However, collecting the entire information of traffic is quite hard if the targeted application is deployed on a wide-rage network.
Thus, it is required to handle the uncertainty of information caused by the incompleteness of data and dynamics of changing traffic.
In this paper, we propose applying the brain mechanism to the virtual network reconstruction, which deals with the uncertain information in decision making.
Since the decision making in the brain is formulated as Bayesian Attractor Model(BAttM), we reformulate the virtual network reconstruction according to the BAttM to handle the uncertainty of sensing information.
Moreover, we introduce the prediction of which decision is more likely selected in the future to decide the appropriate topology quickly.
In the evaluation, we show that the proposal method quickly sets the appropriate topology even with using the uncertain sensing information.
Additionally, we show that the prediction mechanism shortens the time required to decide the topology.
Keyword (in Japanese) (See Japanese page) 
(in English) Bayesian Attractor Model / Virtual Network / Topology Reconstruction / / / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 485, IN2016-129, pp. 193-198, March 2017.
Paper # IN2016-129 
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 IN2016-129

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) Reconstruction of Virtual Network by Bayesian Attractor Model 
Sub Title (in English)  
Keyword(1) Bayesian Attractor Model  
Keyword(2) Virtual Network  
Keyword(3) Topology Reconstruction  
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1st Author's Name Tatsuya Otoshi  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Yuichi Ohshita  
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 2017-03-03 11:40:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2016-129 
Volume (vol) vol.116 
Number (no) no.485 
Page pp.193-198 
#Pages 6 
Date of Issue 2017-02-23 (IN) 

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