RT Journal Article
T1 Leakage-Aware Cooling Management for Improving Server Energy Efficiency
A1 Zapater Sancho, Marina
A1 Ayala Rodrigo, José Luis
A1 Tuncer, Ozan
A1 Moya, José M.
A1 Vaidyanathan, Kalyan
A1 Gross, Kenny
A1 Coskun, Ayse K.
AB The computational and cooling power demands of enterprise servers are increasing at an unsustainable rate. Understanding the relationship between computational power, temperature, leakage, and cooling power is crucial to enable energy-efficient operation at the server and data center levels. This paper develops empirical models to estimate the contributions of static and dynamic power consumption in enterprise servers for a wide range of workloads, and analyzes the interactions between temperature, leakage, and cooling power for various workload allocation policies. We propose a cooling management policy that minimizes the server energy consumption by setting the optimum fan speed during runtime. Our experimental results on a presently shipping enterprise server demonstrate that including leakage awareness in workload and cooling management provides additional energy savings without any impact on performance.
PB IEEE Computer Soc.
SN 1045-9219
YR 2015
FD 2015-10
LK https://hdl.handle.net/20.500.14352/24264
UL https://hdl.handle.net/20.500.14352/24264
LA eng
NO © 2013 IEEE. Research by Marina Zapater has been partly supported by a PICATA predoctoral fellowship of the Moncloa Campus of International Excellence (UCM-UPM). This work has been partly funded by the Spanish Ministry of Economy and Competitivity under research grant TEC2012-33892, by Oracle Corp., and Decision Detective Corporation (SBIR). The authors thankfully acknowledge the computer resources, technical expertise and assistance provided by the Centro de Supercomputación y Visualización de Madrid (CeSViMa).
NO Moncloa Campus of International Excellence (UCM-UPM)
NO Ministerio de Economía y Competitividad (MINECO)
NO Oracle Corp.
NO Decision Detective Corporation (SBIR)
DS Docta Complutense
RD 21 dic 2025