| Name: | Description: | Size: | Format: | |
|---|---|---|---|---|
| 96.21 KB | Adobe PDF |
Advisor(s)
Abstract(s)
Managing the physical and compute infrastructure of a large data center is an embodiment of a Cyber-Physical System
(CPS). The physical parameters of the data center (such as power, temperature, pressure, humidity) are tightly coupled
with computations, even more so in upcoming data centers, where the location of workloads can vary substantially due,
for example, to workloads being moved in a cloud infrastructure hosted in the data center. In this paper, we describe a
data collection and distribution architecture that enables gathering physical parameters of a large data center at a very
high temporal and spatial resolutionof the sensor measurements. We think this is an important characteristic to enable
more accurate heat-flow models of the data center andwith them, _and opportunities to optimize energy consumption.
Havinga high resolution picture of the data center conditions, also enables minimizing local hotspots, perform more
accurate predictive maintenance (pending failures in cooling and other infrastructure equipment can be more promptly
detected) and more accurate billing. We detail this architecture and define the structure of the underlying messaging
system that is used to collect and distribute the data. Finally, we show the results of a preliminary study of a typical data
center radio environment.
Description
Keywords
Citation
Publisher
Springer