Bowen Zhou, Bing Xiang, et al.
SSST 2008
In this article we describe the application of physical analytics to manage optimally energy consumption of a data center (DC). In its core the solution leverages the intelligent co-management of IT workloads and the physical infrastructure of the DC. Specifically, we demonstrate workload dependent control using real-time data such as temperature, pressure, humidity and power consumption. The data is used to build specific and comprehensive models, which enables operators to either control the cooling resources or alternatively to place the IT workloads for optimum energy usage.
Bowen Zhou, Bing Xiang, et al.
SSST 2008
J.P. Locquet, J. Perret, et al.
SPIE Optical Science, Engineering, and Instrumentation 1998
Ziyang Liu, Sivaramakrishnan Natarajan, et al.
VLDB
Fan Zhang, Junwei Cao, et al.
IEEE TETC