Transcript Document

FAC 5.4
Maximizing Energy Efficiency in Data Centers with PAR4®
Clemens Pfeiffer
Chief Technology Officer
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FAC 5.4
Maximizing Energy Efficiency in Data Centers with PAR4®
This session will show how to overcome the high cost of energy in
data centers by creating a test method and a metric for server
performance. PAR4 is a comprehensive metric for IT energy
efficiency tested by Underwriters Laboratories (UL) that complies
with UL standard UL2640 and accurately measures IT equipment
power usage. The PAR4 benchmark test suite provides a
methodology for accurately measuring server power, consumption
and energy efficiency.
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What is PAR4?
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Standardized energy efficiency rating for IT Equipment
(Today: Servers only)
Rating adjusted based on age of equipment
Easy to measure transactions/watt
Measures idle and peak power
Adopted by UL as UL2640
Adopted by United Nations as part of AM0105 to earn
carbon credits
Free to download from www.par4.org
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What do you measure and why?
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Transactions per Watt  Normalized Efficiency Rating
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Idle power consumption
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Allows to compare servers from multiple generations
Degrades with age of the server
Minimum power consumed when operating system is running
Peak power consumption
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Required minimum power allocation when racking equipment
Power consumption even at low utilization
Typically added to an inventory or change management system for
optimal placement
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Example setup with Starline Raceway
How to measure PAR4?
By Device
By Rack
Test Equipment setup with Ethernet cable
connecting the raceway and laptop, and a power
cable connecting the server.
Test Equipment setup with Ethernet cable
connecting the racetracks attached to data
center racks.
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An Example
• Power consumption
Off
Idle
Peak
7W
134W
255W
• Efficiency Rating
Green
Gold
Gold
Silver
2010
2011
2012
2013
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Why is it important?
Typical provisioning today by
- Size
- De-rated power information
Example for 10kW rack de-rated
- 800W  740W (80%)
- 13 Server per rack
Example for 10kW rack by PAR4
- 235W peak power
- 40 Server per rack
Result:
3x capacity per rack
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How to use PAR4 in your CMS/Asset Mgmt
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•
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Min/Max values
Power allocation
Rack placement
Inventory integration
Utilization verification
Aggregated totals
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Using PAR4 for IT Upgrade Justification
HP DL380 G6
Peak Power
TPS
HP DL360 G8
335W
59M
Peak Power
TPS
292W
380M
Identical Capacity
20 DL380 G6
40U
7,700W
1,180M TPS

3 DL360 G8
3U
876W
1,140M TPS
90% Savings / Space & Power
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A Real Case Example

Peak Power:
335W
TPS:
59M
Example with about 1 MW of power
3000 DL380 G6  450 DL360 G8
6000U
450U
1 MW
131kW
177 B TPS
171 B TPS
Peak Power:
292W
TPS:
380M

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A Warning: Don’t assume Power Consumption
3 Second Expanded Snapshots / TrueRMS 60 cycle/second
IDLE
25%
100%
PDU
SPEC Power Tests:
Stacked from 0% to 100% CPU Load
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Rack Power Consumption
3 Scenarios
• Uncapped, Always on
•
most often used today
• Power Capped, Always on
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to increase number of servers in the rack
• Dynamically Managed
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to optimize power cost per transaction
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Uncapped / Always On
 1 Network Switch
Web Txn Max: 7,600M Txns
Idle: 4,840W – Peak: 8,115W
Web Servers
250W
 20 Web Servers
165W idle / 292W peak
 3 Application Servers
130W idle / 255W peak
 2 Database Servers
450W idle / 620W peak
Application Servers
Database Servers
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Capped at 200W / Always On
 1 Network Switch
Web Txn Max: 2,100M Txns
Idle: 4,840W – Peak: 6,275W
Web Servers
250W
 20 Web Servers
165W idle / 292W peak / Capped 200W
 3 Application Servers
130W idle / 255W peak
 2 Database Servers
450W idle / 620W peak
Application Servers
Database Servers
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Power Capping & Performance
Power Capping kills performance & increases cost per transaction
400
300
200
100
0
Transactions in Mil
6.00
W/MTxn
4.00
2.00
0.00
No Cap Cap Cap Cap Cap Cap Cap Cap
Cap 210 200 190 180 170 160 150 140
No Cap Cap Cap Cap Cap Cap Cap Cap
Cap 210 200 190 180 170 160 150 140
Power for 25% Capacity
Idle
10%
25%
50%
75%
100%
25%
Power independent of use
NOTE: Supermicro Dual L5520 CPU
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Dynamically limited to 2,100M txns
 1 Network Switch
Web Txn Max: 2,100M Txns
Idle: 2,530W – Peak: 4,027W
Web Servers
250W
 20 Web Servers
165W idle / 292W peak
OFF
 3 Application Servers
130W idle / 255W peak
 2 Database Servers
450W idle / 620W peak
Application Servers
Database Servers
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Results
Uncapped/Always On
Cap 200W/Always On
Dynamic
7,600M Txns
2,100M Txns
7,600MTxns
Idle
4,840W
4,840W
2,530W
Peak
8,115W
6,275W – 23%
4,027W – 50%
2,100M Txns
2,100M Txns
2,100M Txns
5,744W
6,275W
4,027W
2.73W/MTxn
2.99W/MTxn
1.91W/MTxn
10% increase
30% decrease
but NO spare capacity
and Full capacity
Capacity
Max Load
Max Load Watt
W/MTxn
Savings per MTxn
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Other Considerations
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Prioritize server use by PAR4 rating
Add less efficient capacity as needed
Share spare capacity across applications
Turn off backup equipment when not needed
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The impact for a business continuity site
Primary DC
%
Peak 8,115W
Secondary DC
%
Peak 8,115W
Max 5,744W
OFF
Max 5,744W
Avg 5,400W
Min 5,250W
Idle 4,840W
Min 5,250W
Idle 4,840W
Week 1
Week 2
Week 3
Week 4
Week 51
Week
Week 2
Week 3
Week 4
Wee
100 Racks each, PUE 2.0: 2MW used  $2M per year
AFTER: Savings of ~$1Million
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Next Steps
Visit Session FAC 5.2 at 1:45pm
to learn about Software Defined Power
and its capabilities to manage your IT environment
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FAC 5.4
Maximizing Energy Efficiency in Data Centers with PAR4®
Thank You.
To try out PAR4, please visit www.par4.org
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