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| Presentation | 2018-07-06 09:55 [Encouragement Talk] Study on Data Center Optimal Management by using DCIM -- Evaluation on Generalization and Advancement of Temperature Prediction of Server Room using Machine Learning -- Kosuke Sasakura, Takeshi Aoki, Takeshi Watanabe (NTT-F)  ICM2018-17 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, data centers (DC) have become increasingly important. Accordingly, highly efficient and reliable operation and management of DCs have been required. Conventional DCs operate ICT and FM systems separately, which could lead to inefficient management. Nowadays, DCs have been focusing on the Data Center Infrastructure Management (DCIM) system, in which ICT equipment, power equipment, and other HVAC devices can be managed in an integrated manner. In this paper, we propose a method of designing rack and ICT placement as an example of DCIM effects that realize proper temperature management effects using DCIM and Machine Learning (ML).We have constructed some models to predict rack intake air temperatures.As a results, We evaluated and confirmed effectivenessof these models. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Data center / Machine Learning / Temperature Prediciton / DCIM / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 118, ICM2018-17, pp. 35-40, July 2018. | |
| Paper # | ICM2018-17 | |
| Date of Issue | 2018-06-28 (ICM) | |
| ISSN | 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 | ICM2018-17 |
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| Conference Information | |
| Committee | ICM |
| Conference Date | 2018-07-05 - 2018-07-06 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | ICM |
| Conference Code | 2018-07-ICM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on Data Center Optimal Management by using DCIM |
| Sub Title (in English) | Evaluation on Generalization and Advancement of Temperature Prediction of Server Room using Machine Learning |
| Keyword(1) | Data center |
| Keyword(2) | Machine Learning |
| Keyword(3) | Temperature Prediciton |
| Keyword(4) | DCIM |
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| 1st Author's Name | Kosuke Sasakura |
| 1st Author's Affiliation | NTT FACILITIES Inc. (NTT-F) |
| 2nd Author's Name | Takeshi Aoki |
| 2nd Author's Affiliation | NTT FACILITIES Inc. (NTT-F) |
| 3rd Author's Name | Takeshi Watanabe |
| 3rd Author's Affiliation | NTT FACILITIES Inc. (NTT-F) |
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| Speaker | Author-1 |
| Date Time | 2018-07-06 09:55:00 |
| Presentation Time | 25 minutes |
| Registration for | ICM |
| Paper # | ICM2018-17 |
| Volume (vol) | vol.118 |
| Number (no) | no.118 |
| Page | pp.35-40 |
| #Pages | 6 |
| Date of Issue | 2018-06-28 (ICM) |
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