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Strata london slide deck
- 1. How to save the world from big data Tactics for making cloud computing massively greener Francine Bennett (@fhr) Mastodon C
- 4. Run anywhere batch jobs latency insensitive standard hardware
- 5. Them: “While this sounds like an interesting project, I'm afraid we don't make these sorts of data points available.” Me: “OK, no problem. Is there any public industry data which you regard as high quality, which you would recommend if we're making estimates? Also would be great to know if [Company] has any green initiatives which we should be aware of in our modelling.” Them: “None that I'm aware of, but we continually and relentlessly seek even more efficient operations.”
- 6. Electricity source Emissions factor Data centre Power Usage Effectiveness Server Standard power consumption
- 8. Electricity source Emissions factor Data centre Physical building and layout Power Usage Occupancy level Effectiveness (PUE) External temperature & humidity Hardware Standard power consumption
- 9. Kg CO2e per KWh of national grid electricity 1.00 0.75 0.50 0.25 0 Sweden UK China Switzerland US (average) Australia Iceland Source: Defra via Amee
- 11. Physical design 1.6 Utilisation Local climate Power source
- 12. Physical design 1.6 Utilisation 1.2 Local climate Power source
- 13. Physical design 1.6 Utilisation 1.2 Local climate 2.0 Power source
- 14. Physical design 1.6 Utilisation 1.2 Local climate 2.0 Power source 8.0
- 15. Occupancy 6% Physical design 13% Power source Climate 61% 20%
- 16. 0 0.15 0.30 0.45 0.60 Iceland Oregon London Winter Dublin Virginia Texas Iceland Oregon London Summer Dublin Virginia Footprint of one server hour Texas
- 17. Myth 1: efficient == green
- 18. © 2006 Bruno & Lígia Rodrigues
- 19. pic of geothermal © ThinkGeoEnergy
- 20. Myth 2: efficiency improvements solve it
- 24. Demand and share data
- 26. © 2006 Bruno & Lígia Rodrigues
- 27. © ThinkGeoEnergy
- 28. Thank you. Francine Bennett (@fhr) Mastodon C Big Data Done Better