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

Yusuke Nakajo; Tomomichi Noguchi; Hiroaki Nishi

doi:10.1109/IECON.2017.8217255

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

Yusuke Nakajo, Tomomichi Noguchi, Hiroaki Nishi

Department of System Design Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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%.

Original language	English
Title of host publication	Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7171-7176
Number of pages	6
Volume	2017-January
ISBN (Electronic)	9781538611272
DOIs	https://doi.org/10.1109/IECON.2017.8217255
Publication status	Published - 2017 Dec 15
Event	43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, China Duration: 2017 Oct 29 → 2017 Nov 1

Other

Other	43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017
Country	China
City	Beijing
Period	17/10/29 → 17/11/1

Keywords

air flow control
cooling efficiency
data center
load balancing

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Control and Optimization
Energy Engineering and Power Technology
Electrical and Electronic Engineering

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Cite this

Nakajo, Y., Noguchi, T., & Nishi, H. (2017). Efficient energy utilization based on task distribution and cooling airflow management in a data center. In Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society (Vol. 2017-January, pp. 7171-7176). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IECON.2017.8217255

Efficient energy utilization based on task distribution and cooling airflow management in a data center. / Nakajo, Yusuke; Noguchi, Tomomichi; Nishi, Hiroaki.

Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 7171-7176.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nakajo, Y, Noguchi, T & Nishi, H 2017, Efficient energy utilization based on task distribution and cooling airflow management in a data center. in Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 7171-7176, 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Beijing, China, 17/10/29. https://doi.org/10.1109/IECON.2017.8217255

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