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

2. about virtualisation? of virtualisation Right-sizing  Right-sizing Hot spots  Hot spots Management  Management energy savings  Claiming your energy savings entitlement reliability and predictability  Claiming your reliability and predictability entitlement Hidden surprises  Hidden surprises Agenda

3. about virtualisation?

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

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

6. Agenda of virtualisation

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

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

9. Agenda

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

11. fixed 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  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 Reduced bulk power & cooling

12. Virtualisation creates hot spots Hot spot

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

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

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

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

17. Predictive management tools What is the solution? Real-time management datapredictable infrastructure Real-time management data + predictable infrastructure Management software can perform “what-if” analysis 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? Managing change and verifying with real-time data is a requirement for efficient and reliable infrastructure

18. Agenda

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

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

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 Before virtualisation $366,561 Before virtualisation Right-size to maximize energy savings Annual electric bill

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% 60 kW IT load 30 kW total server load Data center load 50% Data center efficiency 24.4% Server Virtualisation $366,561 $258,900 savings Before virtualisation After virtualisation Annual electric bill Right-size to maximize energy savings

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 $366,561 $258,900 29% savings 60 kW capacity Data center load 100% Data center efficiency 51.7% 60 kW IT load 30 kW total server load Data center load 50% Data center efficiency 24.4% 51% savings Before Virtualisation After Virtualisation After physical infrastructure improvements savings Right-size to maximize energy savings $240,011 Electricity Savings per Year: $240,011 (65%)

26. Load Scalable infrastructure goes both ways Capacity Power/cooling Load Virtualised Load Original Load Virtualised Load Virtualised Load Virtualised Downsize... but expect re-growth ScaleScale

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

28. Power and cooling: Downsize to match load NO CHANGE New, lower virtualized load NO CHANGE to power/cooling kW capacity kW IT load of power/cooling kW capacity kW IT load RE-SIZED New, lower virtualized load RE-SIZED power/cooling of power/cooling Power / cooling infrastructure must be re-sized for lower load... to avoid electrical waste AND avoid hidden surprises

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

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

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

32. Questions?