DocumentCode :
167109
Title :
Impact of workload assignment on power consumption in software-defined data center infrastructure
Author :
Deguchi, Tadayoshi ; Taniguchi, Yukinobu ; Hasegawa, Go ; Nakamura, Yoshihiko ; Ukita, Norimichi ; Matsuda, Keisuke ; Matsuoka, Masashi
Author_Institution :
Grad. Sch. of Inf. Sci. & Technol., Osaka Univ., Suita, Japan
fYear :
2014
fDate :
8-10 Oct. 2014
Firstpage :
420
Lastpage :
425
Abstract :
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.
Keywords :
air conditioning; computational fluid dynamics; computer centres; energy conservation; power aware computing; power consumption; air conditioner power consumption; computational fluid dynamics; data centers; exhaust heat reuse; power consumption reduction; server back-planes; software-defined data center infrastructure; workload assignment policy; Air conditioning; Atmospheric modeling; Data models; Heating; Power demand; Servers; Temperature distribution; Air conditioning; Computational fluid dynamics simulation; Data center; Power consumption reduction; Workload assignment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Networking (CloudNet), 2014 IEEE 3rd International Conference on
Conference_Location :
Luxembourg
Type :
conf
DOI :
10.1109/CloudNet.2014.6969031
Filename :
6969031
Link To Document :
بازگشت