TY - GEN
T1 - Impact of workload assignment on 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:
© 2014 IEEE.
PY - 2014/11/26
Y1 - 2014/11/26
N2 - We proposed a workload assignment policy for reducing power consumption by air conditioners in data centers. Power consumption was estimated by computational fluid dynamics for both the conventional equipment arrangement and the tandem arrangement newly developed to reuse the exhaust heat from servers. To reduce the air conditioner power consumption by raising the temperature set points of the air conditioners, the temperatures of all server back-planes were equalized by moving workload from the servers with the highest temperatures to the servers with the lowest temperatures. Consequently, the air conditioners' power consumption was reduced by 10.4% in the conventional arrangement. In the tandem arrangement, the air conditioners' power consumption was reduced by 53%, and also the total power consumption of the whole data center was exhibited to be reduced by 23% by reusing the exhaust heat from the servers.
AB - We proposed a workload assignment policy for reducing power consumption by air conditioners in data centers. Power consumption was estimated by computational fluid dynamics for both the conventional equipment arrangement and the tandem arrangement newly developed to reuse the exhaust heat from servers. To reduce the air conditioner power consumption by raising the temperature set points of the air conditioners, the temperatures of all server back-planes were equalized by moving workload from the servers with the highest temperatures to the servers with the lowest temperatures. Consequently, the air conditioners' power consumption was reduced by 10.4% in the conventional arrangement. In the tandem arrangement, the air conditioners' power consumption was reduced by 53%, and also the total power consumption of the whole data center was exhibited to be reduced by 23% by reusing the exhaust heat from the servers.
KW - Air conditioning
KW - Computational fluid dynamics simulation
KW - Data center
KW - Power consumption reduction
KW - Workload assignment
UR - http://www.scopus.com/inward/record.url?scp=84925879788&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84925879788&partnerID=8YFLogxK
U2 - 10.1109/CloudNet.2014.6969031
DO - 10.1109/CloudNet.2014.6969031
M3 - Conference contribution
AN - SCOPUS:84925879788
T3 - 2014 IEEE 3rd International Conference on Cloud Networking, CloudNet 2014
SP - 420
EP - 425
BT - 2014 IEEE 3rd International Conference on Cloud Networking, CloudNet 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 3rd IEEE International Conference on Cloud Networking, CloudNet 2014
Y2 - 8 October 2014 through 10 October 2014
ER -