Virtualization is only half the battle for efficiency in Data Centers

1. Virtualization is only half the battle for efficiency in Data Centers Eduard Bodor System Engineer Romania & Bulgaria

2. Agenda about virtualisation? of virtualisation Right-sizing Hot spots Management Claiming yourenergy savingsentitlement Claiming yourreliability and predictabilityentitlement Hidden surprises Why does APC-MGE care Benefits Challenges to physical infrastructure Getting the infrastructure right

3. Agenda about virtualisation?

4. Mission To create delighted customers by improving the manageability, availability, and performanceof information systems and key process controls through the rapid delivery of innovative solutions to real customer problems Virtualisation impacts all of these

5. Data Center challenges require new solutions Rapid changes in IT technology Virtualisation & server consolidation Energy and service cost control pressure High density blade server power/heat Data Center Dynamic power variation Increasing availability expectations Regulatory requirements In response, APC by Schneider Electric is working to change the way the world designs, installs, operates, manages, and maintains data centers

6. Agenda of virtualisation Benefits

7. Virtualisation Benefits Increased CPU utilization and efficiency Typical server utilization rate: ~10-15% (usually higher in storage)Virtualized utilization rate: Up to 80% Server consolidation Decreased need to purchase additional servers Increased rack space Reduced “white space” requirements Improved continuity and disaster recovery Virtualized servers can be mirrored in case of failure Reduced labor costs Easier hardware provisioning and maintenance

8. Extreme energy savings are at stake $366,561 Before virtualisation Savings from virtualisation alone 29% $258,900 Annual electric bill Savings from virtualisation PLUS power/cooling re-sizing After virtualisation 65% $126,550 After physical infrastructure improvements Details about this case study later

9. Agenda

10. Challenges to physical infrastructure Reduced bulk power & cooling requirements Existing room-level UPS/cooling wastes $$$ and energy Targeted cooling distribution First, blades and 1U appliance servers created high-density hot spots – now, virtualization creates migrating hot spots! Need for rack-level, real-time visibility New dynamic environments need proactive and interactive management to avoid chaos and downtime Challenge #1 Right-sizing Challenge #2 Hot spots Challenge #3 Management

11. Reduced bulk power & cooling Over half the power and cooling losses in a data center are fixed and do not vary with the IT load Efficiency degrades as the load declines Oversizing is a primary contributor to inefficiency Virtualisation and server power management will make this problem worse, if power and cooling are sized to non-typical peak IT loads Power and cooling devices that can scale in capacity – or even be managed to a zero power state – will reduce fixed losses Needed: Power and cooling infrastructure that can scale with consolidation and growth from virtualisation

12. Virtualisation creates hot spots Virtualization Consolidation Hot spot High kW / rack

13. BEFORE Virtualisation: Room Cooling is working Constant load day and night

14. AFTER Virtualisation: Pop-up hot spots 7am – 8 am 8am – 9am 9am – noon Lunchtime 1pm – 4pm 4pm – 6pm 6pm – 7am

15. Hot spots move around 7am – 8 am 8am – 9am 9am – noon Lunchtime 1pm – 4pm 4pm – 6pm 6pm – 7am

16. Hot spots move around 7am – 8 am 8am – 9am 9am – noon Lunchtime 1pm – 4pm 4pm – 6pm 6pm – 7am

17. Predictive management tools Real-time management data+predictable infrastructure Management software can perform “what-if” analysis Where’s the best place for a new server? What if the server load increases? What is the impact of change on the physical infrastructure? What is the solution? Managing change and verifying with real-time datais a requirement for efficient and reliable infrastructure

18. Agenda

19. Close-coupled cooling for hot spots Perimeter CRAC removed • CRACs placed IN the rows, closer to hot spots • Unneeded perimeter CRACs removed Perimeter CRAC removed

20. Dynamic response to hot spots Morning spike In-row units communicate with each other and work together to remove extra heat from hot aisle

21. Hotter hot spots  increased cooling Evening spike

22. No hot spots  reduced cooling Nighttime

23. 120 kW total IT load 90 kW total server load (75% of entire IT load) 100% loaded power and cooling system (120 kW) Data center efficiency 34.4% Annual electrical bill $366,561 Right-size to maximize energy savings $366,561 Before virtualization Before virtualisation Before virtualisation Annualelectricbill

24. 120 kW IT load 90 kW total server load (75%) Data center load 100% Data center efficiency 34.4% Annual electrical cost $258,900 3:1 server electricity reduction Only 1.4:1 total electricity reduction! Data center efficiency drops to 24.4% Right-size to maximize energy savings $366,561 After virtualization 50% Reduction in total IT power Before virtualisation 29% savings Server Virtualisation $258,900 • 60 kW IT load • 30 kW total server load • Data center load 50% • Data center efficiency 24.4% After virtualisation Annualelectricbill

25. 120 kW IT load 90 kW total server load (75%) Data center load 100% Data center efficiency 34.4% Right-size power & cooling Close-coupled cooling Use blanking panels High-efficient UPS Annual electrical cost $126,550 3:1 server electricity reduction 2.9:1 total electricity reduction! Data center efficiency increases to 51.7% Payback period less than 4 years Right-size to maximize energy savings $366,561 After physical infrastructure improvements Before Virtualisation 29%savings 65% • 60 kW IT load • 30 kW total server load • Data center load 50% • Data center efficiency 24.4% $258,900 savings After Virtualisation 51%savings • 60 kW capacity • Data center load 100% • Data center efficiency 51.7% $126,550 After physical infrastructure improvements Electricity Savings per Year: $240,011 (65%)

26. Power/cooling Capacity Virtualised Load Original Load Virtualised Virtualised Load Load Scalable infrastructure goes both ways Downsize ... but expect re-growth Re-growth Initial Compression Load Load Load Load Load Virtualised Load Scale Scale DOWN UP

27. Effective MANAGEMENT Capacity Management to ensure efficient balance of supply and demand for power and cooling Capacity Forecasting for adding capacity based on actual data Recommendations on how to make both large-scale changes and simple device additions to the data center Change Management as a design process with appropriate optimization and validation Life-Cycle Tracking of data center devices (“Asset Management”) Auditing of adds/moves/changes/deletes and basic workflow management system

28. kW capacity of power/cooling kW IT load New, lower virtualized loadRE-SIZED power/cooling Power and cooling: Downsize to match load ... to avoid electrical waste AND avoid hidden surprises kW capacity of power/cooling Excess capacity Power / cooling infrastructure must be re-sized for lower load kW IT load New, lower virtualized loadNO CHANGE to power/cooling

29. Hidden surprises ... from oversized cooling capacity • AC shutdown from high “head pressure” • AC short-cycling from frequent shutdown reduced life • AC voided warranty due to below-limits operation • Hot gas bypass expense to simulate “normal” load

30. Utility-provider contract lower usage only yields partial reduction in bill • Real estate utility contract landlord takes the gain from lower bill Hidden surprises ... from fixed-rate utility contracts Re-negotiate utility contracts – don’t give away your savings to the utility company or the building owner

31. Summary • Virtualisation’s payback potential cannot be fully realised without a parallel re-assessment of physical infrastructure • Right-sizing and close-coupled cooling are powerful tools in the virtualisation toolbox • Capacity Management is essential for virtualised environments • Virtualisation introduces availability hazards that must be understood and addressed

32. Questions?