Social networks and discovery in the enterprise (SaND)
Inbal Ronen, Elad Shahar, et al.
SIGIR 2009
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.
Inbal Ronen, Elad Shahar, et al.
SIGIR 2009
Preeti Malakar, Thomas George, et al.
SC 2012
A. Gupta, R. Gross, et al.
SPIE Advances in Semiconductors and Superconductors 1990
Alessandro Morari, Roberto Gioiosa, et al.
IPDPS 2011