An Arabic Slot Grammar parser
Michael C. McCord, Violetta Cavalli-Sforza
ACL 2007
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.
Michael C. McCord, Violetta Cavalli-Sforza
ACL 2007
Hans Becker, Frank Schmidt, et al.
Photomask and Next-Generation Lithography Mask Technology 2004
Maciel Zortea, Miguel Paredes, et al.
IGARSS 2021
Oliver Bodemer
IBM J. Res. Dev