Knowledge-based models for computer server inlet temperature prediction in data centres 

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

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!

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.

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!

Q&A

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