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The Data Center (DC) Genome project is a collaborative effort with Microsoft Research
 

Summary: DC Genome
The Data Center (DC) Genome project is a collaborative effort with
Microsoft Research
. The project goal is to use data-driven and feedback control
approaches to monitor, analyze, and improve the efficiency of data
center operations and thus minimize their environmental impact.

Data center energy consumption has attracted global attention due to the fast growth of the IT
industry and increasing concerns about carbon footprints and climate change. Lack of visibility
into the data center's operating conditions is one of the root causes for this low energy
efficiency. As conventional wisdom dictates that IT equipment needs abundant cooling to
operate reliably, the CRAC systems in many data centers are set to very low temperatures.
Furthermore, data center operators tend to further decrease the CRAC's temperature settings
when servers issue thermal alarms because they lack the information to accurately diagnose
the problem. Thereby, high-fidelity (i.e., with rack-level spatial granularity and sub-minute
sampling rate) historical and real-time data about the environmental conditions inside a data
center are invaluable not only for diagnosing problems but for improving the data center's
efficiency.
As part of the DC Genome, we developed RACNet, a large-scale sensor network for
high-fidelity data center environmental monitoring. RACNet runs a high data-rate collection

  

Source: Amir, Yair - Department of Computer Science, Johns Hopkins University

 

Collections: Computer Technologies and Information Sciences