9. The age of the digital society Rapid growth in global IT usage ; therefore, rapid growth in electricity consumption Will those of us that Supply and Manage IT be viewed as Part of the Problem or Part of the Solution ? Environmental awareness Climate change Energy crisis New regulations to reduce carbon footprint Digital Society Economics e-Commerce e-Learning e-Government … @ 2.0 (collaboration) Globalization accelerates business transaction worldwide
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11. Pressures on the Electric Utilities Rising residential demand Rising commercial demand Beware of unintended consequences Government energy consumption policies Rising costs to generate electricity Power grid delivery limitations + NIMBY
12. U.S. average (all regions, all segments) Source: EIA/DOE: official energy statistics from U.S. Government – April 2008 A growing % of the budget is going to energy
13. U.S. Total Electricity Consumption increases In the U.S., new Data Centers are often build in Regions with lower cost per watt and likelihood of good long-term supply .
14. Power cost in Europe for industrial usage Source : Eurostat, January 2007 +30% from 2000 to 2007 (France excepted) Belgium Germany Spain France Italy United Kingdom 83,4 € / MWh 92,7 € / MWh 74,2 € / MWh 54,1 € / MWh 98,3 € / MWh 93,2 € / MWh 2007 :
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17. Source of Energy Pressures on the Data Center Upgrade limitations in power distribution of racks Proliferation of volume/scale-out servers Data Center space (too little, too much) Hotspot and thermal dissipation issues Aging of Data Center Infrastructure (building, cooling, power distribution) Government energy consumption policies (regulatory req., procurement rules) Concern about power bills Increased awareness Corporate Social Responsibility Commitment
21. US Environmental Protection Agency (EPA) Comparison of projected Electricity Use All scenarios 2007-2011 The market will demand the most energy efficient technologies and the state of the art best practices to reduce dramatically the energy consumption
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25. Cooling and power delivery exceed 50% of Data Center power consumption Data Center power consumption split Server level consumption split Power delivery 40% 80% 100% Loads Cooling Total baseline Cumulative power Source: Intel Corp. 7.3% Voltage Regulators 20W 5.5% Server fans 15W 7.3% UPS +PDU 20W 18.2% PSU 50W 36.4% Load CPU, Memory, Drives , I/O 100W 25.5% Room cooling system 70W Total 275W 5% 10% 14% 20% 32% 4% 15% 5% 10% 15% 20% 25% 30% 35% Disks Mother- board Memory Peripheral slots CPU Fan PSU losses
31. Trade and Government organizations plus influencers for what is inside the Data Center http://www1.eere.energy.gov/industry/saveenergynow/partnering_data_centers.html “ Save Energy Now” program LEED ®
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33. “ You cannot manage what you cannot measure” Data Center Power Meters Step 1: break out data center utility costs from other corporate facilities Step 2: meter specific equipment M M M M M M M M M M M M M M M M M M M M M M M M M M M M Utility Meter Facility Meters IT Meters M
34. Energy efficiency metrics Bull is a member DCiE PUE PUE: Power Usage Effectiveness DCiE: Data Center infrastructure Efficiency 1.6 1.8 2.0 3.0 3.5 Most energy efficient Least energy efficient Current energy efficient Objective PUE
37. EU references metrics : Green Grid metrics, SPEC Power (ssj2008), Energy Star Program The EU companies and organizations are encouraged to sign the CoC on Data Centers Charter and commit themselves to abide to the principles related to the commitments and Monitoring for Data Centre they own or operate. Bull is a member Code of Conduct for Data Centers To minimize energy consumption of Data Centers , this initiative aims to allow different stakeholders to commit to improve efficiency in the area of their Data Center competence.
45. Bull Green IT at a glance Virtualization and consolidation deployment services, managed services (plan, build and upgrade) Data Center Operation, work load mobility and power management Energy efficiency servers and technologies Outstanding performance/watt Upstream diagnose services Measure energy use, Server load profile Detect opportunities for improvements Bio Data Center
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47. Bio Data Center Methodologies and technologies Capacity increase thru add. resources Power on demand Server Workload Manager Server Provisioning Capacity increase thru add. server Cluster Workload Manager & for Applications with centralized architecture for Applications with clustered architecture GCOS 7 GCOS 8 Operations Automation Business Continuity Green Efficiency Virtualization & Consolidation Scale up - SMP Scale out – Cluster / Blades Do more Do better