TY - JOUR
T1 - A workload assignment policy for reducing power consumption in software-defined data center infrastructure
AU - Deguchi, Takaaki
AU - Taniguchi, Yoshiaki
AU - Hasegawa, Go
AU - Nakamura, Yutaka
AU - Ukita, Norimichi
AU - Matsuda, Kazuhiro
AU - Matsuoka, Morito
N1 - Publisher Copyright:
Copyright © 2016 The Institute of Electronics, Information and Communication Engineers.
PY - 2016/2
Y1 - 2016/2
N2 - In this paper, we propose a workload assignment policy for reducing power consumption by air conditioners in data centers. In the proposed policy, to reduce the air conditioner power consumption by raising the temperature set points of the air conditioners, the temperatures of all server back-planes are equalized by moving workload from the servers with the highest temperatures to the servers with the lowest temperatures. To evaluate the proposed policy, we use a computational fluid dynamics simulator for obtaining airflow and air temperature in data centers, and an air conditionermodel based on experimental results from actual data center. Through evaluation, we show that the air conditioners' power consumption is reduced by 10.4% in a conventional data center. In addition, in a tandem data center proposed in our research group, the air conditioners' power consumption is reduced by 53%, and the total power consumption of the whole data center is exhibited to be reduced by 23% by reusing the exhaust heat from the servers.
AB - In this paper, we propose a workload assignment policy for reducing power consumption by air conditioners in data centers. In the proposed policy, to reduce the air conditioner power consumption by raising the temperature set points of the air conditioners, the temperatures of all server back-planes are equalized by moving workload from the servers with the highest temperatures to the servers with the lowest temperatures. To evaluate the proposed policy, we use a computational fluid dynamics simulator for obtaining airflow and air temperature in data centers, and an air conditionermodel based on experimental results from actual data center. Through evaluation, we show that the air conditioners' power consumption is reduced by 10.4% in a conventional data center. In addition, in a tandem data center proposed in our research group, the air conditioners' power consumption is reduced by 53%, and the total power consumption of the whole data center is exhibited to be reduced by 23% by reusing the exhaust heat from the servers.
KW - Air Conditioner
KW - Computational Fluid Dynamics
KW - Data Center
KW - Power Consumption Reduction
KW - Workload Assignment
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U2 - 10.1587/transcom.2015EBP3267
DO - 10.1587/transcom.2015EBP3267
M3 - Article
AN - SCOPUS:84957691026
VL - E99B
SP - 347
EP - 355
JO - IEICE Transactions on Communications
JF - IEICE Transactions on Communications
SN - 0916-8516
IS - 2
ER -