Knowledge-based models for computer server inlet temperature prediction in data centres
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Knowledge-based models for computer server inlet temperature prediction in
data centres Ray Lloyd (PhD Candidate)
School of Mechanical and Transport Engineering
Dr Marek RebowProf Brian Norton
29 November 2013
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What is a data centre
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Increase the temperature
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Visual result of experiment carried out in the R&D data centre in IBM Dublin
During the experiment the flow rate of chilled water supply was reduced.Caution: transient response times increase!
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So what’s the research all about
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Hot-spotsCold-spots Just-right
Squish
To increase overall temperatures we need to control and manage the inlets
To control and manage the inlets we need to know at what temperature they are
It can be costly and disruptive to deploy 1000’s of sensors
What if we can use previous knowledge gained from gathering all this data from other data centres to make a prediction on ours without the cost.
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What are Knowledge-based models
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Example of data sets
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386496 data pointsdistributed geospatially on 8 layers
217728 data pointsdistributed geospatially on 8 layers
The research is based on access to over 100 data sets like these, available from locations all over the world.
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Data mining - Web-based tool
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Data exploration
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Data preparation and clustering
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Equipment geo-classification
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Clustering – filtering anomalies
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Result of clustering
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Pulling together knowledge
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Clus
ters
Hybrid of knowledge-based model and simplified physics model,but that’s for another day!
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Q&A
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