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| Paper Abstract and Keywords | ||
| Presentation | 2023-07-13 13:00 Multi Objective Optimization Method for Data Center Placement and Application Selection to Realize Renewable Energy Locally Consumed Data Centers Hiro Tanaka, Yoji Ozawa (Hitachi)  ICM2023-11 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Climate change due to global warming is a global social issue, and decarbonization is a pressing need. On the other hand, the explosion of data generated and consumed by digitization is expected to increase the power consumption of data centers (DCs) that support it. The amount of renewable energy supplied to DCs and the power consumption of DCs are greatly affected by the location of DCs and the applications running in DCs, respectively. Therefore, it is necessary to consider multiple indicators such as the initial cost and the amount of renewable energy to be utilized at the design phase to determine the location of the DC and the applications to run on it. Therefore, we proposed a multi-objective optimization method for DC placement and application selection using a metaheuristic. Compared to existing methods, the proposed method is expected to improve ROI by 14.0%. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | data center / DC placement optimization / decarbonization / multi-objective optimization / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 111, ICM2023-11, pp. 1-6, July 2023. | |
| Paper # | ICM2023-11 | |
| Date of Issue | 2023-07-06 (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 | ICM2023-11 |
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| Conference Information | |
| Committee | ICM |
| Conference Date | 2023-07-13 - 2023-07-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Sun Reflation Hakodate |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | ICM |
| Conference Code | 2023-07-ICM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Multi Objective Optimization Method for Data Center Placement and Application Selection to Realize Renewable Energy Locally Consumed Data Centers |
| Sub Title (in English) | |
| Keyword(1) | data center |
| Keyword(2) | DC placement optimization |
| Keyword(3) | decarbonization |
| Keyword(4) | multi-objective optimization |
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| Keyword(8) | |
| 1st Author's Name | Hiro Tanaka |
| 1st Author's Affiliation | Hitachi, LTD. (Hitachi) |
| 2nd Author's Name | Yoji Ozawa |
| 2nd Author's Affiliation | Hitachi, LTD. (Hitachi) |
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| Speaker | Author-1 |
| Date Time | 2023-07-13 13:00:00 |
| Presentation Time | 25 minutes |
| Registration for | ICM |
| Paper # | ICM2023-11 |
| Volume (vol) | vol.123 |
| Number (no) | no.111 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2023-07-06 (ICM) |
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