Post on 27-Jun-2015
description
transcript
How to save the world from big data
Tactics for making cloud computing massively greener
Francine Bennett (@fhr)Mastodon C
Run anywhere
batch jobslatency insensitive standard hardware
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.”
Electricity sourceEmissions factor
ServerStandard power
consumption
Data centrePower Usage Effectiveness
Electricity sourceEmissions factor
HardwareStandard power
consumption
Data centrePower Usage
Effectiveness (PUE)
Physical building and layoutOccupancy levelExternal temperature & humidity
0
0.25
0.50
0.75
1.00
Icel
and
Switz
erla
nd
Swed
en UK
US (a
vera
ge)
Chin
a
Aust
ralia
Kg CO2e per KWh of national grid electricity
Source: Defra via Amee
Physical design
Utilisation
Local climate
Power source
Physical design 1.6
Utilisation
Local climate
Power source
Physical design 1.6
Utilisation 1.2
Local climate
Power source
Physical design 1.6
Utilisation 1.2
Local climate 2.0
Power source
Physical design 1.6
Utilisation 1.2
Local climate 2.0
Power source 8.0
Power source61%
Climate20%
Physical design13%
Occupancy6%
0
0.15
0.30
0.45
0.60
Win
ter
Sum
mer
Icel
and
Ore
gon
Lond
on
Dub
lin
Virg
inia
Texa
s
Icel
and
Ore
gon
Lond
on
Dub
lin
Virg
inia
Texa
s
Footprint of one server hour
Myth 1: efficient == green
pic of geothermal
© ThinkGeoEnergy
Myth 2: efficiency
improvements solve it
William Stanley Jevons
Tell your
suppliers
Demand and
share data
© ThinkGeoEnergy
Thank you.
Francine Bennett (@fhr)Mastodon C
Big Data Done Better