Virtualization and consolidation - APC Partner...

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


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



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


Schneider Electric 4Go Go to latest online

version of this toolClick to resume presentationDone

Virtualization Energy Cost Calculator


http://www.apc.com/tool/?tt=9


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



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 …



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



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



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



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



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


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



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



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




Data Center InRow™ Containment Selector




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



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



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?



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



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





Useful computing


OVERALLefficiency

ITefficiency



efficiencyDCiE


DCiEOverall

IT

Much worse

AFTERserver consolidation A little

betterMuch betterA little less Much

lessPower/cooling FIXED losses prevent greater gain here

(No change)





Useful computing


OVERALLefficiency

ITefficiency



efficiencyDCiE


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)



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








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


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



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.



Resources

Electrical Efficiency Modeling for Data Centers

White Papers

113

tools.apc.com


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


http://www.apc.com/wp?wp=130&cc=EN

http://www.apc.com/tool/?tt=9&cc=EN

http://www.apc.com/tool/?tt=9&cc=EN





Date post:	15-Jun-2020
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Virtualization and consolidation - APC Partner...

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