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Paper Abstract and Keywords
Presentation 2016-03-04 11:40
GA-based task assignment and air conditioner setting for reducing data center power consumption.
Takaaki Deguchi (Osaka Univ.), Koji Suganuma (NAIST), Yuya Tarutani, Go Hasegawa, Yutaka Nakamura (Osaka Univ.), Takumi Tamura, Kazuhiro Matsuda (NTT-AT), Morito Matsuoka (Osaka Univ.) NS2015-219
Abstract (in Japanese) (See Japanese page) 
(in English) In this report, we propose a data center energy management architecture focusing on coordinated operation among various equipment in a data center.
A data center control system is constructed based on the proposed architecture.
The proposed system is evaluated in our data center testbed.
Evaluation results show that the proposed system reduces the data center total power consumption by 6.3 % compared with a setting for reducing server power consumption and by 5.9 % compared with that for reducing air conditioner power consumption.
Keyword (in Japanese) (See Japanese page) 
(in English) Data center / Power consumption reduction / Coordinated control system / Machine learning / Genetic algorithm / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 483, NS2015-219, pp. 297-302, March 2016.
Paper # NS2015-219 
Date of Issue 2016-02-25 (NS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 NS2015-219

Conference Information
Committee NS IN  
Conference Date 2016-03-03 - 2016-03-04 
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 NS 
Conference Code 2016-03-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) GA-based task assignment and air conditioner setting for reducing data center power consumption. 
Sub Title (in English)  
Keyword(1) Data center  
Keyword(2) Power consumption reduction  
Keyword(3) Coordinated control system  
Keyword(4) Machine learning  
Keyword(5) Genetic algorithm  
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1st Author's Name Takaaki Deguchi  
1st Author's Affiliation Osaka University (Osaka Univ.)
2nd Author's Name Koji Suganuma  
2nd Author's Affiliation NARA Institute of Science and Technology (NAIST)
3rd Author's Name Yuya Tarutani  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Go Hasegawa  
4th Author's Affiliation Osaka University (Osaka Univ.)
5th Author's Name Yutaka Nakamura  
5th Author's Affiliation Osaka University (Osaka Univ.)
6th Author's Name Takumi Tamura  
6th Author's Affiliation NTT Advanced Technology Corporation (NTT-AT)
7th Author's Name Kazuhiro Matsuda  
7th Author's Affiliation NTT Advanced Technology Corporation (NTT-AT)
8th Author's Name Morito Matsuoka  
8th Author's Affiliation Osaka University (Osaka Univ.)
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Speaker Author-1 
Date Time 2016-03-04 11:40:00 
Presentation Time 20 minutes 
Registration for NS 
Paper # NS2015-219 
Volume (vol) vol.115 
Number (no) no.483 
Page pp.297-302 
#Pages
Date of Issue 2016-02-25 (NS) 


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