Virtualization and consolidation

Transcription

1 Virtualization and consolidation Choosing a density strategy Implementing a high-density environment Maximizing the efficiency benefit Anticipating the dynamic data center Schneider Electric 1 Topical VIRTUALIZATION Rev 1

2 Virtualization myths Virtualization always increases efficiency Virtualization requires high-density data centers High density and high efficiency cannot coexist I don t need to worry about power and cooling when virtualizing 2

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 3

4 Virtualization Energy Cost Calculator Go Go to latest online version of this tool Done Click to resume presentation Schneider Electric 4 Topical VIRTUALIZATION Rev 1

5 Which density strategy? New or existing data center? How many high-density servers? How much bulk power and cooling? Can IT devices be moved around? Low-density racks with no virtualized servers Low-density racks with a mix of virtualized and non-virtualized servers High-density racks with virtualized servers Spread the load Consolidate the load White paper Spectrum of post-virtualization densities 46 5

6 Density strategy: Spread out the load Easy No new power and cooling equipment required But 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 6

7 Density strategy: Consolidate Takes more planning Needs advance planning But big advantages Predictable high-density cooling Enables higher-efficiency cooling Optimized utilization of floor space Enables targeted availability We can help you make the right decision and offer solutions to support your virtualization strategy 7

8 Implementing a virtualized environment Spectrum of solutions for the entire density spectrum Blanking panels Supplemental cooling Rear Air containment Quick, least expensive InRow cooling Modular power distribution Hot aisle containment Best efficiency 8

9 Implementing a virtualized environment 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 9

10 Implementing a virtualized environment When 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 cooling Air removal unit Air distribution unit Single AC unit 10

11 Implementing a virtualized environment When 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 Effectiveness 11

12 Cooling: Dynamic response to hot spots Row-based cooling allows for Short air path between cooling and load Instrumentation for coordinated response to hot-aisle temperature White paper

13 Cooling: Dedicated pod A high-density island in the room White paper 134 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 13

14 Cooling: Dedicated pod Exhaust air is captured within hot aisle and neutralized to ambient temperature Variable-speed fans optimize efficiency by closely matching performance to dynamic cooling demand Ambient-temperature air is returned to room InRow cooling unit Equipment racks take in ambient air from front 14

15 Data Center InRow Containment Selector Go Go to latest online version of this tool Done Click to resume presentation Schneider Electric 15 Topical VIRTUALIZATION Rev 1

16 Virtualization s efficiency effects OVERALL data center efficiency Useful computing gets a little better, but is held back by a big DCiE efficiency drop Large opportunity here for improvement by right-sizing 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 Data center power consumption is less, but power/cooling efficiency degrades due to under-loading 16

17 Claiming the efficiency entitlement No matter what approach is chosen, DCiE is likely to decrease due to fixed losses Fixed losses are easy to understand from a virtualization perspective White paper

18 Maximizing the efficiency benefit 4 servers Before virtualization 2 servers After 2:1 virtualization 2 of 4 servers unplugged Fixed loss GONE X Fixed loss GONE X Unplugging servers removes THEIR fixed losses BUT what about power and cooling fixed losses? 18

19 Another way to look at fixed losses DCiE = 50% DCiE = 33% Pre-virtualization: 100 kw of servers Post-virtualization: 50 kw of servers Fan motors Fan 100kW motors Servers 10083% kw 50% FIXED LOSS Servers 100 kw 50% Total power consumption reduced by server reduction Fan motors Fan 100kW motors (no 100 change) kw 67% FIXED LOSS Servers 50 kw 33% Total electric bill is smaller, but the same FIXED LOSS is now a greater portion of a smaller pie 67% reduction in server power results in 56% electric bill savings 50% reduction in server power results in only 25% electric bill savings 19

20 The whole efficiency picture Assuming server consolidation with same useful computing Overall DCiE IT PHYSICAL INFRASTRUCTURE efficiency DCiE IT efficiency Useful computing per IT watt OVERALL efficiency Useful computing per data center watt BEFORE server consolidation Useful computing 20

21 The whole efficiency picture Assuming server consolidation with same useful computing Overall DCiE IT PHYSICAL INFRASTRUCTURE efficiency DCiE IT efficiency Useful computing per IT watt OVERALL efficiency Useful computing per data center watt BEFORE server consolidation Useful computing AFTER server consolidation A little less Power/cooling FIXED losses prevent greater gain here Much less (No change) Much worse Much better A little better 21

22 The whole efficiency picture Assuming server consolidation with same useful computing Overall DCiE IT PHYSICAL INFRASTRUCTURE efficiency DCiE IT efficiency Useful computing per IT watt OVERALL efficiency Useful computing per data center watt BEFORE server consolidation Useful computing AFTER server consolidation A little less Power/cooling FIXED losses prevent greater gain here Much less (No change) Much worse Much better A little better PLUS power/cooling optimization MUCH less (No change) (No change) Much better (can approach BEFORE level) (No further change) Much better than BEFORE 22

23 Case study Annual electric bill 120 kw data center capacity 90 kw IT load (75% loaded) 59 kw total server load (66%) DCiE = 49% $193,123 Before Virtualization 27% savings 53 kw IT load (42% loaded) 22 kw total server load 75% servers virtualizable Server consolidation ratio 20:1 DCiE = 39% 60 kw capacity Data center load 88% DCiE = 62% $140,305 After Virtualization 36% savings After physical infrastructure improvements savings 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%) Source: TradeOff Tool - TT9 Rev 0 Virtualization Energy Cost Calculator 23

24 Virtualization Energy Cost Calculator Go Go to latest online version of this tool Done Click to resume presentation Schneider Electric 24 Topical VIRTUALIZATION Rev 1

25 Scalable infrastructure minimizes waste Minimize 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 efficiency 25

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 White paper VMs migrate to other pods or data centers

27 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? Have I maximized my virtualization efficiency benefit? 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. Virtualization is fully leveraged when power and cooling are right-sized to the post-virtualization load. In addition, predictable row-based, closecoupled cooling deployments further increase data center efficiency. 27

28 Resources White Papers whitepapers.apc.com 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 Electrical Efficiency Modeling for Data Centers Power and Cooling Capacity Management for Data Centers tools.apc.com Virtualization Energy Cost Calculator Data Center InRow Containment Selector 28