1. Anand Vanchi- Intel IT Ravi Giri – Intel IT Sujith Kannan – Intel Corporate Services Comprehensive Energy Efficiency of Data Centers – Case study shared.

2. 2 Legal Notices  This presentation is for informational purposes only. INTEL MAKES NO WARRANTIES EXPRESSED OR IMPLIED IN THIS SUMMARY.  *Other names and brands may be claimed as property of others Copyright © 2009, Intel Corporation. All rights reserved. 6/2/2015

3. 3 Need for energy efficiency in Datacenters  Continuously increasing Energy consumption for growing computing needs!!!!!!!!!!!  Energy use of computing devices is an increasing concern –Total U.S use is about 100B Kwh. in 2006* –Projected to grow 3-4% per year* –Supply – Demand gap for India continues to increase –Energy costs likely to continue increasing – Supply issues; potential climate change regulations The same is reflected in the Datacenter energy consumption also..  U.S. data center electricity use ~30B Kwh/yr. *  Energy is top data center operating cost  Public perception that data centers are driving up energy use  Worldwide server shipments 7M/ year and growing 10% per year * * Source – Energy Efficient computing – Tim Higgins, Intel Dt: 5/8/07 6/2/2015 3

4. 4 Challenges to Energy Efficiency in Data centers –Right Sizing of facility infrastructure considering appropriate load diversity. –Facility side redundancies not in line with business needs. –Legacy servers yielding less performance per watt of power consumed as compared to the current generation multi core servers. –Lack of energy efficiency as a key decision vector for appropriate, optimum work load allocation to Servers. –Lack of correlation of Facility utilization and IT performance measurements. 6/2/2015 4 “ A clear consistent way of measuring DC Efficiency which includes business value, IT performance and Facility Utilization aspects would helps us address the above challenges ”

5. 5 Where do we start…… Datacenter Facilities Metering and tracking of PUE. –Challenges –Isolating Datacenter Power and cooling loads from the rest of the building facilities. –Metering of Facility utilization (Power /Cooling/Losses) at right points in distribution providing useful actionable information for efficiency improvement. –Identification of optimum levels of granularity for utility metering of the Datacenter. –Analysis, Archival of the metered information and actionable report generation 6/2/2015 Going forward we will share a case study on how we are trying to overcome the above mentioned challenges and the benefits we realized in our endeavor..

6. 6 Intel DC Case Study 6/2/2015  DC Power metering –  Input side – UPS Input panel  Output side – Row Level Power distribution panel  DC Cooling metering –  PAC Units – at Distribution panel supplying power to the PAC Units.  Multi use Chiller plant – Used Flow Meters and Temp sensors to isolate cooling consumption on account of the DC alone.

7. 7 Case Study contd. - UPS Power Metering Layout Intel Confidential 6/2/2015 Energy Meters at UPS input panels Energy Meters at Row level Output panels nearer to IT loads

8. 8 Case Study contd. – Cooling Power Metering Layout Intel Confidential 6/2/2015 Energy Meters in PAC Electric panels

9. 9 Chilled water supply header Chilled water Return header To PAC’s Supply header temperature sensor Return header temperature sensor Flowmeter Intel DC Case Study - DC Flow meter Layout

10. 10 6/2/2015 Intel DC Case Study contd. - Energy Meter readings from -BMS

11. 11 6/2/2015 TEMP SENSORS -1TEMP SENSORS -2 Intel DC Case Study Contd. - Flow Meters Readings - BMS

12. 12 6/2/2015 The measurements collected..  Facility Power Consumption measurements –  1. UPS & Distribution Losses.  2. IT Load Power consumption  3. Total Power consumption by PAC Units in DC.  4. Power consumption for cooling of UPS room.  4. Power consumption at Chiller plant w.r.t DC  5. Lighting load measurements.  6. Power consumption on account of Make up AHUs.  Utility Report Generation –  1. Continuous PUE measurements  2. Impact on PUE due to variation in IT load.  3. Impact on PUE due to variation in Facility corresponding to variation in load

13. 13 6/2/2015 The outcome of facility utilization measurements..  The above activities were rolled out in the DC at various times during the year based on the inputs identified from metering and measuring of the facility consumption in the DC and this resulted in improving the PUE to 1.81 from 1.99  The actionable triggered from the analysis of the measurements..  1. Paralleling of UPS to increase the utilization levels thereby reducing  efficiency and distribution Losses.  2. Increasing the PAC tempt Set point from 19 Deg C to 23 Deg C.  3. Humidity controls made operational as needed in DC (was found to  be required only for 3 Months in Bangalore)  4. Effective Air management inside the DC.  5. LED lighting for emergency lighting inside the DC.  6. Regular lighting utilization also controlled and managed.

14. 14 6/2/2015 Power Cost savings by improvement in PUE / Efficiency

15. 15 6/2/2015 Benefits achieved after the Facility Efficiency measurement program –How did this effort help? –Annualized Operational power cost savings (77K in 2008) –Establishment of the relationship between Power density optimization and improved efficiency. –Contributed to ROI justification for retrofitting the DC to higher density to refresh 4 yr old single core servers with High Performance Multi core servers in the DC. –Proliferating the knowledge gained as a global effort within the organization and contributing in terms of Data and Architecture inputs for the effort.

16. 16 6/2/2015 What next after Facility Efficiency…. –Refer the cost savings in our case study.. –An annual power cost savings of 77K USD realized in 2008 by improving PUE from 1.99 to 1.81 –Potential annual power cost savings of additional 55K USD targeted in 2009 by improving PUE from 1.81 to1.68. –However improving PUE is still a finite activity. Beyond a reasonable value improvements in PUE will not yield an effective ROI as the returns are of diminishing nature. Why facility efficiency is just the beginning and means but not the end????????? To ensure a significant ROI in the DC efficiency initiatives the need is to focus holistically including the IT utilization aspects and its impact on facility efficiency.

17. 17 Impact of IT optimization on DC Efficiency 6/2/2015 DCE = (1/PUE) ROI Facilities optimization IT Infrastructure optimization

18. 18 The Progress into next level.. Datacenter IT Infrastructure asset tracking and IT performance measurement –Where we are working on currently? –Creation of a Database with all DC IT Infrastructure information. –Establish the relationships between IT and Facility equipments (Power / Cooling / Weight / Network distribution) –Tracking and metering of IT equipment performance at an optimum granular level (Eg. SpecINT / Org Specific etc.) –Analysis, Archival of the metered information and actionable report generation –Technology for implementing Power management policies based on actionable reports. 6/2/2015

19. 19 Sample Power usage per ROW/RACK level 6/2/2015

20. 20 Sample Data collection format - DC IT max power load Actual versus expected Sample Data collection format – Network Ports Usage Tracking at Row Level

21. 21 Sample IT Performance Measurements Screen 6/2/2015 Overall servers performance at ROW level

22. 22 The matured model…. UTOPIA Where we want to be!!!!!!! Dynamically manage the efficiency of the Datacenter holistically by managing an effective and optimum IT performance to Facility utilization levels –Identifying the optimum threshold, the sweet point for the Infrastructure between efficient utilization threshold and Reliable utilization threshold –The ability of the IT Application system to ramped up or ramped down as per business needs and correspondingly respond in facility provisioning dynamically. - Automated policy based decision making to chose the best location for moving the IT Work load in a geographically distributed data center architecture. 6/2/2015 Establish clear Running Cost in USD per unit IT Performance and effectively evolve the TCO model in delivering the data center service in the most efficient way both from facilities and IT perspective.

23. 23 Questions?????? 6/2/2015