Efficient energy utilization based on task distribution and cooling airflow management in a data center

Yusuke Nakajo, Tomomichi Noguchi, Hiroaki Nishi

研究成果: Conference contribution

抄録

With the recent emergence of smartphones, cloud computing, and the Internet of Things (IoT), our society has become more dependent on the Internet. In these circumstances, increasing energy consumption in data centers is becoming a crucial problem worldwide and data center managers are required to run them efficiently in terms of energy consumption. This study aims to reduce cooling airflow energy by achieving appropriate task distribution and adding a shutter control system, which reduces the energy consumption of an air-conditioner. In most cases, servers tend to be unnecessarily cooled at low temperatures, even when their exhaust temperatures are not high. Our proposed method solves this problem by using shutter control and introducing a task allocation method. We built an experimental rack model and implemented our proposed control system, validating it with a real HTTP data request. The results show that our experimental system reduces the cooling airflow energy by 4.4%.

本文言語English
ホスト出版物のタイトルProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
出版社Institute of Electrical and Electronics Engineers Inc.
ページ7171-7176
ページ数6
ISBN(電子版)9781538611272
DOI
出版ステータスPublished - 2017 12 15
イベント43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China
継続期間: 2017 10 292017 11 1

出版物シリーズ

名前Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
2017-January

Other

Other43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
国/地域China
CityBeijing
Period17/10/2917/11/1

ASJC Scopus subject areas

  • 産業および生産工学
  • 制御と最適化
  • エネルギー工学および電力技術
  • 電子工学および電気工学

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