Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2015-03-02 10:10
Temperature prediction for energy optimization in data centers by machine learning approaches
Kazuyuki Hashimoto, Yuya Tarutani, Go Hasegawa (Osaka Univ.), Kazuhiro Matsuda, Takumi Tamura (NTT-AT), Yutaka Nakamura, Morito Matsuoka (Osaka Univ.) NS2014-191
Abstract (in Japanese) (See Japanese page) 
(in English) In this report, we propose a temperature prediction method for energy optimization in data centers by machine learning approaches. In the proposed method, we acquire operating data of data center such as air conditioners’setting, server powers, and values of temperature sensors. We then construct regression equations for estimating temperature distributions at several minutes future by machine learning approaches. We evaluate the proposed method by using collected data from actual operating data center in terms of precision and accuracy of the regression equations and calculation time required for learning and estimation. Evaluation results show that we can estimate the temperature distribution at 10 minutes future after changing the operational parameters with 0.095 degree C of accuracy and 0.107 degree C of precision.
Keyword (in Japanese) (See Japanese page) 
(in English) Data center / Power consumption reduction / Temperature prediction / Machine learning / Air conditioner / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 477, NS2014-191, pp. 87-92, March 2015.
Paper # NS2014-191 
Date of Issue 2015-02-23 (NS) 
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 NS2014-191

Conference Information
Committee NS IN  
Conference Date 2015-03-02 - 2015-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2015-03-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Temperature prediction for energy optimization in data centers by machine learning approaches 
Sub Title (in English)  
Keyword(1) Data center  
Keyword(2) Power consumption reduction  
Keyword(3) Temperature prediction  
Keyword(4) Machine learning  
Keyword(5) Air conditioner  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Kazuyuki Hashimoto  
1st Author's Affiliation Osaka Univercity (Osaka Univ.)
2nd Author's Name Yuya Tarutani  
2nd Author's Affiliation Osaka Univercity (Osaka Univ.)
3rd Author's Name Go Hasegawa  
3rd Author's Affiliation Osaka Univercity (Osaka Univ.)
4th Author's Name Kazuhiro Matsuda  
4th Author's Affiliation NTT Advanced Technology Corporation (NTT-AT)
5th Author's Name Takumi Tamura  
5th Author's Affiliation NTT Advanced Technology Corporation (NTT-AT)
6th Author's Name Yutaka Nakamura  
6th Author's Affiliation Osaka Univercity (Osaka Univ.)
7th Author's Name Morito Matsuoka  
7th Author's Affiliation Osaka Univercity (Osaka Univ.)
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2015-03-02 10:10:00 
Presentation Time 20 minutes 
Registration for NS 
Paper # NS2014-191 
Volume (vol) vol.114 
Number (no) no.477 
Page pp.87-92 
#Pages 6 
Date of Issue 2015-02-23 (NS) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan