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Paper Abstract and Keywords
Presentation 2018-03-02 09:00
Evolutionary Network Power-Saving Method based on Pareto Optimal Control
Yosuke Akishita, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2017-113
Abstract (in Japanese) (See Japanese page) 
(in English) The power consumption of networks has been increasing as the service over the Internet becomes popular, and has become a serious problem. Many methods to reduce the power consumption by shutting down unnecessary network devices have been proposed. However, these methods do not consider the fault tolerance, and shutting down some network devices may degrade the performance of the network in case of failures.

We have established a network control method that saves power consumption securing adequate performance and reliability. However, it does not take into consideration fluctuations in which the topology scale becomes large or the total traffic volume changes greatly. And it takes time to reach the power saving state.
Therefore, in order to save power following the environmental fluctuation in the network, a set obtained by combining the previous Pareto front and solutions having a high evolvability is set as initial solutions. And by evolutionary computation, our method searches for the Pareto Front adapted to the current environment. According to the above, our method obtains an appropriate Pareto front immediately.

In this paper, we evaluate the method by simulation. The results show that the method can satisfy performance and reliability constraints in about 4 generations, and reduce power consumption in about 650 generations.
Keyword (in Japanese) (See Japanese page) 
(in English) Network power saving / Multi-objective optimization / Pareto optimal solutions / Pareto front / Evolutionary algorithms / Evolvability / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 460, IN2017-113, pp. 141-146, March 2018.
Paper # IN2017-113 
Date of Issue 2018-02-22 (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 IN2017-113

Conference Information
Committee NS IN  
Conference Date 2018-03-01 - 2018-03-02 
Place (in Japanese) (See Japanese page) 
Place (in English) Phoenix Seagaia Resort 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2018-03-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evolutionary Network Power-Saving Method based on Pareto Optimal Control 
Sub Title (in English)  
Keyword(1) Network power saving  
Keyword(2) Multi-objective optimization  
Keyword(3) Pareto optimal solutions  
Keyword(4) Pareto front  
Keyword(5) Evolutionary algorithms  
Keyword(6) Evolvability  
Keyword(7)  
Keyword(8)  
1st Author's Name Yosuke Akishita  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Yuichi Ohsita  
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 2018-03-02 09:00:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2017-113 
Volume (vol) vol.117 
Number (no) no.460 
Page pp.141-146 
#Pages 6 
Date of Issue 2018-02-22 (IN) 

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