IT Level Power Provisioning Business Continuity and Efficiency at NTT

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1 IT Level Power Provisioning Business Continuity and Efficiency at NTT Henry M.L. Wong Intel Eco-Technology Program Office

2 Environment Global CO 2 Emissions ICT 2% 98% Source: The Climate Group

3 Economic Efficiency and Technology Growth 1 Billion New Connected Users by Billion Connected Devices 2015 and 800 TBytes IP Traffic 60 EBytes Data Stored Peak IP Traffic (Terabytes per second) Data Stored (Exabytes) 60 More Users More Computing Devices More Data * source: Intel estimates 3

4 Critical: Availability of Services Regulatory compliance insufficient to safeguard and secure personal data April 2012 Availability and outages continues to jeopardize commerce June Balance Security, Availability, and Data Compliance in addition to Productivity and Energy Efficiency

5 Cloud 2015 Vision Federated Share data securely across public and private clouds Automated Dynamically Allocate Resources Client Aware Optimizing services based on device capability Desktops Laptops Netbooks Personal Devices Smartphones Smart TVs Embedded Open, Interoperable Solutions Essential 5

6 Performance Power in Watts Power Provisioning & Energy Efficiency Performance Delivered Energy Consumed Time Time

7 Power Power Levels and Energy Provisioning Static provisioning defines upper power bands Dynamic provisioning could map to an ideal energy profile Standardized power controls to facilitate static and autonomous dynamic energy provisioning Digital Monitoring & Control Consumed Ideal Procurement On-site configuration Static Provisioning Dynamic Provisioning Digital Monitoring & Control Enables Static and Dynamic Provisioning

8 Data Center Power Provisioning PUE * measures the efficiency of data center infrastructure (UPS, CRACs, etc.) Efficient Data Center Energy Usage (PUE) PUE addresses this part Servers Network/Storage Building/Lighting Infrastructure * PUE: Power Usage Effectiveness But this is the majority Energy use 8

9 PLATFOM POWER Server Energy Efficiency DRIVE PERFORMANCE IMPROVEMENTS Performance Gains at (Constrained) peak power CONTAIN GROWTH IN PEAK POWER REDUCE POWER AT LOW UTILIZATION Reduced Power at Low Utilization Work load Server Energy Efficiency Across the Work Load Energy Proportional Computing 9

10 Materializing Energy Efficiency and Business Continuity Nice in theory. But How does this keep my business running and save energy? 10

11 Extending Data Centre Operations In response to Japan s power grid situation after the 2011 Earthquake, NTT Data Center operations were able to: Extend data centre run time capacity during backup generation from 36hrs to 65hrs Balanced extended operating time vs. service response level Realized up to 17% energy savings in the data center. 140W Limit Generator Operating Time Typical Survive Automatically reduce power to extend operations during power or cooling events Whitepaper available at 11

12 How was this done? Server Power Management: Power Capping Energy proportional computing Server Level Policy manager: Monitor power, thermal, and workload conditions Automated engine manages compute and power resources Rack Level Policy Manager Rack capacity Inter-rack workload balance IT Management Console 12

13 Summary of NTT case study Business continuity- compute and power policy: 80% increase in service availability during grid failure Dynamically provision power to critical compute functions Net efficiency with minor performance impact: 27% reduction in server energy consumption. 17% reduction in data center energy consumption 13

14 14 Backup

15 Server management system examples Usage Model Examples Source Limit Limit Survive Survive Reduce Reduce Reduce Reduce Korea Telecom increased datacenter capacity by 600 servers using Node Manager power limiting China Telecom and Baidu testing showed they could increase rack density up to 40% Principled Technologies testing showed emergency battery life extended from 13 to 44 minutes NTT Data saw generator fuel tank operations extend 80% by capping 260W servers to 140W Korea Telecom estimates using integrated manager will save them $2000 per rack per year in power costs Oracle and BMW Group realized up to 30% power optimization without performance impact NTT Data saw 23-27% reduction in power at server level and 15-17% reduction at data center level with only minor performance impacts Principled Technologies testing showed 1% performance impact using 80% power limit, and maximized perf/watt at that level _power_0312.pdf TA_CaseStudy_ pdf Oracle: BMW: TA_CaseStudy_ pdf 720_power_0312.pdf 15

16 System Energy Envelope System Power Servers: Energy Efficient Performance System Power System Power v. Performance Generations of platforms What-if Gen 0 Gen+1 Gen+2 Gen 0 Gen +1 Performance increase Energy Efficient Performance Fixed performance Energy Inefficient Max output per envelope drives generational efficiency-- Lower power for fixed workload reduces data center efficiency 16

17 Power: Lower is better Sustained Efficiency Improvement 2 Socket Volume-Server Power vs. Performance 2004 Intel Xeon 3.8GHz 2006 Intel Xeon Intel Xeon E Intel Xeon X Intel Xeon X5670 Higher Efficiency Performance: Higher is better Source: SPECpower_ssj2008* 2 socket results from SPEC.org as of August Generational improvement in Energy Efficiency Performance and power consumption results are based on certain tests measured on specific computer systems. Any difference in system hardware, software or configuration will affect actual performance. Configurations: Two-socket Systems, Test Results for SPECpower_ssj2008, Testing by Hewlett-Packard. For more information go to

18 Control Power at Every Level Server-level power management View power use or set a budget Millisecond-fast capping to prevent tripping a circuit Group-level management Collect and sum aggregate power use Implement policies for power reduction Maximize rack power utilization using actual data 18

19 Increase server count per rack by provisioning based on actual or limited power Power reporting and limiting 10 units server/rack 12 units server/rack 14 units server/rack 1 10 servers deployed to 5kW rack based on 500W server nameplate IT uses management system power reporting, max actual server power draw is 400W 3 12 servers deployed to same 5kW rack, Node Manager limits power to 400W 2 Typical deployment method 20% more servers 1 1kW stranded power recovered 1 IT uses management system to characterize effects of <400W power polices, determines 350W limit negligibly impacts performance 14 servers deployed to same 5kW rack, Management system limits power to 350W % more servers % efficiency improvement 2 19 Numbers used are for illustrative purposes only. Actual nameplate and power consumption values vary based on configuration and workload % improvement over 10 servers/rack baseline. 1kW stranded power recovery based on 10 servers * (500W-400W) sample calculation 2. 40% improvement over 10 servers/rack baseline. 12.5% efficiency improvement based on ( )/400 calculation, assumes performance is not impacted

20 Maximize server productivity (& protect server assets) during datacenter cooling events Automatic & Dynamic power limiting Admin sends policy to servers limit power when Inlet Temperature threshold is exceeded Datacenter chiller outage occurs, ambient data center temperature rises above threshold Management system enforces power policy limit on servers by reducing CPU & Memory Power IT Management Console 4 Datacenter chiller issue resolved, ambient temperature returns to normal 5 Management system automatically removes power limit, servers return to normal operating state 20

21 Replace Power Strip and Serial Concentrator Power Reporting Solutions Improved functionality with less complexity 2 Typical IT design specifies use of Intelligent Power Strips, Serial Concentrators Individual server and aggregate rack power data available to IT Admin 1 IT Management Console Reduce costs by standard power strips replacing IP power strips, integrated management system replacing serial concentrator, eliminating serial cable(s) 4 Management system reports and limits individual server and aggregate power data, + support power limiting policies and report server inlet temperature 3 21