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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 Rebow Prof Brian Norton 29 November 2013. What is a data centre. Increase the temperature.

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

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  1. Knowledge-based models for computer server inlet temperature prediction in data centres  Ray Lloyd (PhD Candidate) School of Mechanical and Transport Engineering Dr MarekRebow Prof Brian Norton 29 November 2013

  2. What is a data centre

  3. Increase the temperature 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!

  4. So what’s the research all about 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 Squish Cold-spots Just-right Hot-spots 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.

  5. What are Knowledge-based models

  6. Example of data sets Image removed 386496 data points distributed geospatially on 8 layers Image removed 217728 data points distributed geospatially on 8 layers The research is based on access to over 100 data sets like these, available from locations all over the world.

  7. Data mining - Web-based tool

  8. Data exploration

  9. Data preparation and clustering

  10. Equipment geo-classification

  11. Clustering – filtering anomalies

  12. Result of clustering

  13. Pulling together knowledge Clusters Hybridof knowledge-based model and simplified physics model, but that’s for another day!

  14. Q&A

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