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Fixed to Variable Energy Ratio (FVER)
Gary Thornton and Adrian Jones
Data Centre Specialist Group
Agenda
• Metric Philosophy
• Evolution of Metrics
• The FVER Metric
• Applying FVER
Metric Philosophy
The ideal metric is:
• Useful to the target audience
– How does it help me understand and improve my data center?
– Does an improvement in the metric value translate to improved
business value $/€/£?
• Easy to measure (often traded with accuracy)
• Accurate (often traded with ease of measurement)
• Reversible
– Reporting (Internal / External)
– Analysis (Decision making)
Data Centre Metrics 4
What Do We Want from Metrics?
Ideally we’d like a metric to be:
Measure and report something the audience
wants to know
Be applicable to the situation
Be able to measure in the same way for multiple
users
Compare between two (or more) users
Compare for one user over time
Data Centre Metrics 5
Metrics Are a Trade Off
Simple vs. Useful
• Successful metrics are simple
• Useful metrics are complex
• Why does this need to be a trade off?
Evolution of Metrics
PU
E
DP
PE
IT W
ork
DC
EP
Pro
du
cti
vit
y P
rox
ies
Using Energy as a Proxy for Productivity
Some proposals suggest using the energy
draw of the IT equipment as a proxy for
measuring “IT Work”
– Reduces the measurement complexity and
cost
– Inherently over-reports utilization / IT work
– Rewards poor utilization
– Rewards disabling power management
– It is not reasonable to expect that a server
which draws 100W at 100% load will ever
draw 1W at 1% load
THE FVER METRIC
FVER Metric
FVER lets you do to software and IT what you did to data center
infrastructure with PUE, target and drive out the inefficiency
Target the wasted energy not doing “useful work”
FVER Metric
FVER measures the ratio of fixed to
variable energy
The ideal FVER is 1, just like an ideal PUE
FVER = Fixed Energy (kWh)
Variable Energy (kWh) 1+
Target the Wasted Energy
The problem
– If your car used the same amount of gas parked as when driving on the
motorway you would consider this to be a fault
PDU A1, B1 Rollup with Trendline
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12:0
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6:00
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kW
Target the Wasted Energy
Target the Wasted Energy
FVER and Productivity
Productivity measure
– Accept that “productivity” is subjective, user specific and not comparable
between operators
– Allow each operator to select or construct a relevant, appropriate and useful
productivity metric which relates to delivered business value
Useful Work
In FVER the user defines their useful work metric, they may use a
productivity proxy or perhaps a more business specific metric such as:
• Webpages served per hour – for a news website
• Transactions per second – for someone like paypal or ebay
• Bits output per hour – for someone like YouTube
• MIPS – for a super compute facility
• Bytes written to disk
• Etc.
Simple Example
• Select a useful work metric
• Recorded work output and power consumption every hour for a week
• Choose the best and worst hour
– Best hour was 3pm-4pm on Thursday, energy consumed was 1.2MWh
– Worst hour was 3am-4am on Sunday, energy consumed was 1.0MWh
FVER = 1000 kWh
200 kWh 1+ = 6
Simple Example – Enable Power Management
• Make a change - Enable power management
• Recorded work output and power consumption every hour for a week
• Choose the best and worst hour
– Best hour was 3pm-4pm on Thursday, energy consumed was 1.2MWh
– Worst hour was 3am-4am on Sunday, energy consumed was 0.7MWh
FVER = 700 kWh
500 kWh 1+ = 2.4
Applying FVER
Tracking and measuring FVER
– Changes behavior by
identifying the opportunity
– Allows comparison of data
centers by providing a
normalized score
– Score may be reported
between 1 and 10
FVER Metric
FVER measures the ratio of fixed to
variable energy
The ideal FVER is 1, just like an ideal PUE
FVER = Fixed Energy (kWh)
Variable Energy (kWh) 1+
Download the White Paper
FVER white paper available for download:
http://dcsg.bcs.org/sites/default/files/protected/DC FVER Metric v1.0.pdf
FVER calculation sheet available for download:
https://dcsg.bcs.org/sites/default/files/protected/Example FVER calculation sheet.xlsx
http://dcsg.bcs.org/sites/default/files/protected/DC FVER Metric v1.0.pdfhttp://dcsg.bcs.org/sites/default/files/protected/DC FVER Metric v1.0.pdfhttp://dcsg.bcs.org/sites/default/files/protected/DC FVER Metric v1.0.pdfhttp://dcsg.bcs.org/sites/default/files/protected/DC FVER Metric v1.0.pdfhttp://dcsg.bcs.org/sites/default/files/protected/DC FVER Metric v1.0.pdfhttp://dcsg.bcs.org/sites/default/files/protected/DC FVER Metric v1.0.pdfhttp://dcsg.bcs.org/sites/default/files/protected/DC FVER Metric v1.0.pdfhttp://dcsg.bcs.org/sites/default/files/protected/DC FVER Metric v1.0.pdfhttp://dcsg.bcs.org/sites/default/files/protected/DC FVER Metric v1.0.pdfhttp://dcsg.bcs.org/sites/default/files/protected/DC FVER Metric v1.0.pdfhttps://dcsg.bcs.org/sites/default/files/protected/Example FVER calculation sheet.xlsxhttps://dcsg.bcs.org/sites/default/files/protected/Example FVER calculation sheet.xlsxhttps://dcsg.bcs.org/sites/default/files/protected/Example FVER calculation sheet.xlsxhttps://dcsg.bcs.org/sites/default/files/protected/Example FVER calculation sheet.xlsx
Data Centre Metrics 21
Summary
Gary Thornton
mailto:[email protected]:[email protected]:[email protected]