| Presentation | 2016-03-04 GA-based task assignment and air conditioner setting for reducing data center power consumption. Takaaki Deguchi, Koji Suganuma, Yuya Tarutani, Go Hasegawa, Yutaka Nakamura, Takumi Tamura, Kazuhiro Matsuda, Morito Matsuoka, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Data center / Power consumption reduction / Coordinated control system / Machine learning / Genetic algorithm |
| Paper # | NS2015-219 |
| Date of Issue | 2016-02-25 (NS) |
| Conference Information | |
| Committee | NS / IN |
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| Conference Date | 2016/3/3(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Phoenix Seagaia Resort |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Chair | Atsushi Hiramatsu(NTT-AT) / Hidetsugu Kobayashi(NTT) |
| Vice Chair | Hideki Tode(Osaka Pref. Univ.) / Katsunori Yamaoka(Tokyo Inst. of Tech.) |
| Secretary | Hideki Tode(Univ. of Fukui) / Katsunori Yamaoka(NTT) |
| Assistant | Shohei Kamamura(NTT) / Yuichi Sudo(NTT) / Kunitake Kaneko(Keio Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Network Systems / Technical Committee on Information Networks |
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| Language | JPN |
| 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 |
| 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.) |
| Date | 2016-03-04 |
| Paper # | NS2015-219 |
| Volume (vol) | vol.115 |
| Number (no) | NS-483 |
| Page | pp.pp.297-302(NS), |
| #Pages | 6 |
| Date of Issue | 2016-02-25 (NS) |