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Schneider Electric 1
Virtualization and consolidation
Choosing a density strategy
Implementing a high-density environment
Maximizing the efficiency benefit
Anticipating the dynamic data center
Topical VIRTUALIZATION Rev 1
Schneider Electric 2
Virtualization myths
● Virtualization always increases efficiency
● I don’t need to worry about power and cooling when virtualizing
● High density and high efficiency cannot coexist
● Virtualization requires high-density data centers
Topical VIRTUALIZATION Rev 1
Schneider Electric 3
Three ways we can help with virtualization projects● Assess the impact of consolidation / virtualization strategy
● Effect of under-loaded CRACs, chillers, generators
● Potential hot spots
● Identify issues in system design or operation that compromise efficiency and recommend solutions:● Row-based cooling
● Scalable UPS
● Predictive management tools
● Estimate potential efficiency gains to enable return-on-investment (ROI) calculations for capital expenditures● Data Center Electrical Efficiency Assessment
service
Topical VIRTUALIZATION Rev 1
Schneider Electric 4Go Go to latest online
version of this toolClick to resume presentationDone
Virtualization Energy Cost Calculator
Topical VIRTUALIZATION Rev 1
Schneider Electric 5
Which density strategy?
Spread the load Consolidate the load
High-density racks with virtualized servers
Low-density racks with no virtualized servers
Low-density racks with a mix of virtualized and non-virtualized servers
● New or existing data center?
● How many high-density servers?
● How much bulk power and cooling?
● Can IT devices be moved around?
46
White paperSpectrum of post-virtualization densities
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Density strategy: Spread out the load
● No new power and cooling equipment required
● Takes up valuable floor space
● Relies on existing unpredictable cooling architecture
● No power/cooling efficiency benefit
● Host servers inherit same availability as less critical servers
Easy …
But …
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Density strategy: Consolidate
● Needs advance planning
Takes more planning …
● Predictable high-density cooling
● Enables higher-efficiency cooling
● Optimized utilization of floor space
● Enables targeted availability
But big advantages …
We can help you make the right decision and offer solutions to support your virtualization strategy
Topical VIRTUALIZATION Rev 1
Schneider Electric 8
Implementing a virtualized environmentSpectrum of solutions for the entire density spectrum
Blanking panels
Supplemental cooling
InRow™cooling
Quick, least expensive
Bestefficiency
Hot aisle containment
Modular power distribution
Rear Air containment
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When do I spread the load?
• Post-consolidation average kW/rack is less than 3kW
• Placement of IT equipment is flexible
• Open U-space is available in existing racks
• Availability requirements for host server is same as non-virtualized servers
Solution…
● Blanking panels
Implementing a virtualized environment
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Implementing a virtualized environmentWhen do I use supplemental cooling?
• Post-consolidation average kW/rack is 3kW - 5kW
• No flexibility over the placement of IT equipment
• Limited capital budget
Solutions…
● Air management devices
● Row-based coolingAir removal unit
Air distribution unitSingle AC unit
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Implementing a virtualized environmentWhen do I use high-density pods?
• Post-consolidation average kW/rack is greater than 5kW
• Subsection of data center is available for pod(s)
• Desire to improve overall data center efficiency (lower PUE*)
Solutions…
● Hot-aisle containment
● Row cooling with closely-coupled hot and cold air streams
● Cold-aisle containment
* PUE – Power Usage EffectivenessTopical VIRTUALIZATION Rev 1
Schneider Electric 12
Cooling: Dynamic response to hot spotsRow-based cooling allows for…● Short air path between cooling and load
● Instrumentation for coordinated response to hot-aisle temperature
1 2 3130
White paper
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Cooling: Dedicated pod
● A “mini data center” with its own cooling
● Contributes no heat to rest of data center
● Works with existing room-based cooling
● Hot/cool air circulation localized within the pod by short air paths and/or containment
● Achieves optimal efficiency
● Targeted availability
A high-density “island” in the room
134
White paper
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Cooling: Dedicated pod
InRow®cooling unit
Exhaust air is captured within hot aisle and “neutralized” to ambient temperature
Equipment racks take inambient air from front
Variable-speed fans optimize efficiency by closely matching performance to
dynamic cooling demand
Ambient-temperature air is returned to room
Topical VIRTUALIZATION Rev 1
Schneider Electric 15Go Go to latest online
version of this toolClick to resume presentationDone
Data Center InRow™ Containment Selector
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Virtualization’s efficiency effects
Physical infrastructure efficiency (DCiE)
Physical infrastructure efficiency gets WORSE because of under-loading (unused capacity) of power and cooling equipment
IT efficiency=
IT efficiency gets BETTER because of optimized utilization of server capacity
OVERALL data center efficiency
Useful computing
… gets a little better, but is held back by a big DCiE efficiency drop
Data center power consumption is less, but power/cooling efficiency degrades due to under-loading
Large opportunity here for improvement by right-sizing
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Claiming the efficiency entitlement
● No matter what approachis chosen, DCiE is likelyto decrease due to fixed losses
● Fixed losses are easy to understand from a virtualization perspective…
113
White paper
Topical VIRTUALIZATION Rev 1
Schneider Electric 18
Maximizing the efficiency benefit
4 servers Before virtualization
2 servers After 2:1 virtualization
Fixed loss GONE
Fixed loss GONE
X X2 of 4 serversunplugged
Unplugging servers removes THEIR fixed lossesBUT… what about power and cooling fixed losses?
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Another way to look at fixed losses
67% reduction in server power results in 56% electric bill savings
Pre-virtualization: 100 kW of servers
Servers83%
Servers50 kW33%
Fan motors100 kW
67%
Fan motors100 kW
50%
Servers100 kW
50%
Post-virtualization: 50 kW of servers
DCiE = 50% DCiE = 33%
Fan motors100kW Fan motors
100kW(no change)
Total electric bill is smaller, but the same FIXED LOSS is now a greater portion of a smaller pie
FIXED LOSS
Total power consumption reduced
… by server reduction FIXED LOSS
50% reduction in server power resultsin only 25% electric bill savings
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The whole efficiency picture
BEFOREserver consolidation
Useful computing
Assuming server consolidation with same “useful computing”
DCiEOverall
IT
OVERALLefficiency
ITefficiency
“Useful computing” per IT watt
PHYSICAL INFRASTRUCTURE
efficiencyDCiE
“Useful computing” per data center watt
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The whole efficiency picture
BEFOREserver consolidation
Useful computing
“Useful computing” per data center watt
OVERALLefficiency
ITefficiency
“Useful computing” per IT watt
PHYSICAL INFRASTRUCTURE
efficiencyDCiE
Assuming server consolidation with same “useful computing”
DCiEOverall
IT
Much worse
AFTERserver consolidation A little
betterMuch betterA little less Much
lessPower/cooling FIXED losses prevent greater gain here
(No change)
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The whole efficiency picture
BEFOREserver consolidation
Useful computing
“Useful computing” per data center watt
OVERALLefficiency
ITefficiency
“Useful computing” per IT watt
PHYSICAL INFRASTRUCTURE
efficiencyDCiE
Assuming server consolidation with same “useful computing”
DCiEOverall
IT
Much worse
AFTERserver consolidation A little
betterMuch betterA little less Much
less(No change)Power/cooling
FIXED losses prevent greater gain here
Much better(can approach BEFORE level)
PLUSpower/cooling optimization
(No change)
(No change)MUCH
lessMuch betterthan BEFORE
(No further change)
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Case study
● 120 kW data center capacity ● 90 kW IT load (75% loaded)● 59 kW total server load (66%)● DCiE = 49%
● Average 7 kW / rack● DX air conditioning● No redundancy● $0.12 / kW hr● Right-sized power & cooling● Close-coupled cooling● Use blanking panels● High-efficiency UPS (96%)
$193,123
$140,305
27%savings
36%savings
BeforeVirtualization
After Virtualization
After physical infrastructure improvements
savings
● 53 kW IT load (42% loaded)● 22 kW total server load● 75% servers virtualizable● Server consolidation ratio 20:1● DCiE = 39%
Source: TradeOff Tool - TT9 Rev 0 “Virtualization Energy Cost Calculator”
● 60 kW capacity● Data center load 88%
● DCiE = 62%
Annual electric bill
Topical VIRTUALIZATION Rev 1
Schneider Electric 24Go Go to latest online
version of this toolClick to resume presentationDone
Virtualization Energy Cost Calculator
Topical VIRTUALIZATION Rev 1
Schneider Electric 25
Scalable infrastructure minimizes wasteMinimize the inefficiency of over-sizing during consolidation and re-growth and be prepared for higher densities to come
Rack density
Scalable power and cooling results in better efficiencyTopical VIRTUALIZATION Rev 1
Schneider Electric 26
Anticipating the dynamic data center● Today, predictive management tools can:
● Analyze the effect of proposed changes
● Suggest the best place for adding new servers
● Recognize conditions or trends in time for corrective action
● Manage capacities of power, cooling, and rack space
● In the future, they will be able to…
● Make energy saving decisions based on “spot market” electrical rates
● Turn off servers after migrating their VMs to different pods or data centers
● Turn off unused power and cooling devices when VMs migrate to other pods or data centers
150
White paper
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Summary
What density strategy should I choose when virtualizing my servers?
A spectrum of possibilities exists, each having a different set of consequences. The most common strategy chosen is to consolidate the post-virtualized servers.
How do I implement a high density environment?
A variety of solutions are offered that align with high density deployment strategies. pods are the most common solution chosen. Closely-coupled hot and cold air streams allow for predictable and efficient cooling.
Have I maximized my virtualization efficiency benefit?
Virtualization is fully leveraged when power and cooling are right-sized to the post-virtualization load. In addition, predictable row-based, close-coupled cooling deployments further increase data center efficiency.
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Resources
Electrical Efficiency Modeling for Data Centers
White Papers
113
tools.apc.com
Virtualization Energy Cost Calculator
whitepapers.apc.com
Data Center InRow™ Containment Selector
46 Cooling Strategies for Ultra-High-Density Racks and Blade Servers
130 The Advantages of Row and Rack-Oriented Cooling Architectures for Data Centers
134 Deploying High-Density Zones in a Low-Density Data Center
Power and Cooling Capacity Management for Data Centers150
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