Ruixiong Tian, Zhe Xiang, et al.
Qinghua Daxue Xuebao/Journal of Tsinghua University
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.
Ruixiong Tian, Zhe Xiang, et al.
Qinghua Daxue Xuebao/Journal of Tsinghua University
Michael Ray, Yves C. Martin
Proceedings of SPIE - The International Society for Optical Engineering
Hendrik F. Hamann
InterPACK 2013
Renu Tewari, Richard P. King, et al.
IS&T/SPIE Electronic Imaging 1996