Data center redundancy. Air traffic High-speed pipes. Training Design. Costs. Guy with a wrench. Terrorism

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1 Data center redundancy Costs Training Design Air traffic High-speed High speed pipes Guy with a wrench Terrorism Fire Communications Backup and Network power Power di t ib ti distribution Security Governance Operations Redundant power grids Center Liquid cooling Special localized cooling Applications, Migration Virtualization Natural Disasters

2 Tech Target, NYC Optimizing Today's Critical Data Center Environments Kfir L Godrich, VP & CT HP Technology Services

3 Agenda Trends Strategy Optimization Summary

4 Trends

5 Thorstein Bunke Veblen Invention is the mother of necessity

6 CIO Focus Shift: Cost Efficiency Resource Productivity Source: Gartner

7 IT evolution Existing Two or several (typically high availability) Data Centers connected tdin a complex plant with direct geo interdependencies. Evolving into Multiple distributed Data Centers (typically lower availability). Owned, outsourced or mixed environments at Owned or outsourced minimum i initial i i constantly growing budget. investment based on variable services cost models. Must be cost efficient to succeed. Must run an optimized transfer function (ROI or equivalent) to succeed. Industrialized IT

8 Technology Interest per Industry

9 Cloud Computing Service providers Service users The cloud is a means by which h global l class, highly hl scalable and flexible services can be delivered and consumed over the internet through an as-needed, pay- per-use business model. Cloud Computing Rationale Unified Commerce platforms Provisioning, growth communication and social networks and cost benefits

10 Massive Scale-out and the Cloud Enterprise Class On premise 100s 1000s of nodes Proprietary HW resiliency Max performance Silo ed Resources Clusters Hybrid/off premise 10,000+ nodes Commodity SW resiliency Max efficiency Shared Resources Grids/Cloud Global class 10 Cost Center Static Shared storage Facility costs Elastic Replicated storage PUE Value/ Revenue Center

11 Pablo Picasso Computers are useless. They can only give you answers.

12 Tomorrow s business will be built on CI Storage Servers Power & cooling Network 12 Management software

13 CI architecture basics Infrastructure operating environment Enables shared-service management Flex fabric Wire-once, dynamic assembly, always predictable Adaptive resource pools Virtualized compute, memory, storage & network Data center smart grid Intelligent energy management across systems and facilities 13

14 Energy Efficiency and Sustainability Many companies will spend more on energy than on hardware. Focus on ROI and TCO Need a holistic approach Thermal mapping Power throttling energy The PUE race Power capping p g Three metrics for data center cost-of-ownership in. a sustainable world: Efficiency, CO2 emissions, and energy loss Data center spending can reach into $millions per year. Reducing the Energy demand is more effective than reducing the cost per KW

15 Global Carbon Emissions 2% 98% IT industry All Others

16 Strategyt

17 Information technology is the most powerful asset we have to address the energy issue Transparent Efficient Light

18 Analytics Managing by the numbers Tools to manage power: Data Center, PCs Tools to measure carbon: Data Center, Printing Uilii Utilities: Metering solutions for monitoring energy use Transparent

19 PCs, Printers, Data Centers More sustainable Printers, PCs: Recycled materials and packaging, eco-label standards Skinless servers; Automation and virtualization technologies Next: Sustainable Data Centers: Least energy, least materials Efficient

20 Nanotechnology More intelligent t Memristor: Fourth element of electronic circuitry proven by HP Labs Real-time data analysis with low-cost, self-powered sensors Next: Wireless Integrated Sensor Networks might get a different direction Efficient

21 Photonics Copper that s never mined 2012: Servers Annual savings: 13 TeraWatt-hours of electricity 2017: Servers + Chips Annual savings: 110 TWh of electricity Reduce the need to mine, smelt copper Light

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23 Hallmarks of a Green DC (1) Based on industry design criteria and best practices Climate and geography leveraged to minimize GHG emissions Facility responds to site constraints and advantages Designed using rigorous whole-building energy modeling

24 Hallmarks of a Green DC (2) Optimization of energy and water use Life cycle approach used in decision making Thorough and transparent reporting of energy use

25 Early Planning Yields Best Results 25

26 Data Center Energy Strategy Air Management Objective: Increase air & chw set points - Minimize Negative flow and Bypass - Minimize Recirculation - Match demand Air - Segregate Hot/Cold air Renewable power (mains /on-site) - Mains (wind, hydro) - Site (solar, wind, sustainable bio-fuel) IT Server: (> Efficient) (> Utilisation) > T (& RH) range Mechanical - Free Cooling (air or chw) - Plant / system optimize > T (& RH) range - Chillers Electric -UPS - Gen heaters -Lights -CRACs - Humidifiers, etc

27 Results of 22 Analyses 27

28 Improve the PUE Upgrade DCiE PUE Rating Cumulative 1 Cost Simple payback 2 Current D I C $300k - $400k 1.7 II B $600k - $1M 2.5 II A $2.5M-$3M 5.7 (years) tment ($) Level of Invest DCiE A 5A 4A 4A 4A 4A 4A 4A 4A 4A 4A 4A 4A 4A 3A 3C 2A 2B 1A 0 Climate Zone Actual data Poly. (Actual data) PUE improvement

29 Impacts of Power and Cooling on PUE Two system design concepts compared Max PUE = 1.63 Average PUE = 1.56 Annual Energy = 49 MKWh Difference is 5 million kwh ($500,000 at $0.10/KWh) Max PUE = 1.45 Average PUE = 1.41 Annual Energy = 44 MKWh 29

30 Impacts of Climate on PUE Analysis of Vancouver, BC and Atlanta, GA Vancouver, BC Max PUE = 1.63 Average PUE = 1.57 Annual Energy = 69 MKWh September 2010 Difference is 3 million kwh ($300, at $0.10/KWh) Atlanta, GA Max PUE = 1.73 Average PUE = 1.65 Annual Energy = 72 MKWh

31 Reliability of electrical systems Description of RBD MTBF MTTR Availability Probability of Failure in 5 years N + 1 UPS system dual cord loads 32, % Distributed Redundant (2 3) UPS system dual cord loads 161, % 2N UPS system dual cord loads 214, % 2(N + 1) UPS system dual cord loads 305, % Utility + N + 1 UPS system, ASTSs dual cord loads Redundant Reserve (2 3) UPS System, ASTSs dual cord loads 65, % 257, % 31 Distributed Redundant (2 3) UPS system, ASTSs dual cord loads 256, % 2N UPS system, ASTSs dual cord loads 445, %

32 Pushing thelimits of complexity means not only Unavailability but also bad capital investment On 9s How much is too much?

33 Building for Tiers Dilemma Tier 2, 3, 4 Costs ($/sf) $5,000 $4,500 $4,000 $3,500 $3,000 $2,500 $2,000 $1,500 $1,000 $500 $- 50 w/sf 100 w/sf 150 w/sf 200 w/sf 250 w/sf 300 w/sf $35,000 $30,000 $25,000 $20,000 $15,000 $10,000 $5, $- Tier 2, 3, 4 Costs ($/kw of Critical Power) 13 September w/sf 100 w/sf 150 w/sf 200 w/sf 250 w/sf 300 w/sf Tier 4 Tier 3 Tier 2 Linear (Tier 4) Linear (Tier 3) Linear (Tier 2) Tier 4 Tier 3 Tier 2 Based on 40,000 sf of Raised Floor Data Center Tier level increases, build cost rises Costs of tier IV vs tier II are almost double Power density increases, $/kw decreases, but again can be almost double the cost tier II tier IV

34 Comparison: Monolithic vs. Multi-tiered Monolithic design Multi-tiered hybrid design MEP systems/infrastructure (Tier IV) A side MEP systems/infrastructure Tier II, A side MEP systems/infrastructure Tier IV, A side Pod 1 Pod 1 Pod 2 MEP systems/infrastructure (Tier IV) B side No B side (saves space) MEP systems/infrastructure Tier IV, B side Provides same operational framework (i.e., Tier level I, II, III, or IV) across all pods Allows applications of similar criticality to be deployed in different pods MEP infrastructure provides the required operational level to each pod

35 Solution - Multi-Tiered Hybrid Design MEP for less-critical applications Redundant MEP for critical applications Pod for less-critical applications High-availability pod for highly critical applications Energy efficiency and facilities optimization Now-unused floor space 35

36 Optimization i

37 Basics of NGDC 2 Industrialized & Modular Low cost & Scalable Energy efficient & lower Reliability Monitored & Controllable Adaptable & Global

38 Performance Index π=((tco/kw)/pf)/1000 over t = 5 years period Correlates Performance Energy efficiency Cost

39 E % Electrical system efficiency Efficiency 88.00% 87.00% 86.00% 85.00% 84.00% 83.00% 82.00% 81.00% 80.00% 79.00% N N+1 Block Rednt 2N 2(N+1) Configuration Legend: Single Cord Configuration Dual Cord Configuration

40 TCO 75,000,000 Total Cost of Ownership (TCO) 70,000,000 65,000,000 60,000,000 TC CO 55,000,000 50,000,000 45,000,000 40,000,000 35,000,000 30,000,000 N N+1 Block Rednt 2N 2(N+1) Configuration Legend: Single Cord Configuration Dual Cord Configuration

41 9s (through Pf function) lity of failure (5 years) Probabi 60.00% 50.00% 40.00% 30.00% 20.00% Probability of failure (5 years) 10.00% 0.00% N N+1 Block Rednt 2N 2(N+1) Configuration Legend: Single Cord Configuration Dual Cord Configuration i

42 The Global Picture Per rformance Inde ex Performance Index N N+1 Block Rednt 2N 2(N+1) Configuration Legend: Single Cord Configuration Dual Cord Configuration

43 Summary 1 Lowering the $/MW is important, operating the MWs with ih less is equally important. 2 3 The NGDC must include modularity and scalability, learn from others but create your own! TCO is almost the ultimate key to the right decision can you make the next step and optimize it?

44 Q&A Kfir L. Godrich, VP & CT HP Technology Services Tel: i i i 44