Green Computing Starts With Virtualization Anand Shrivastava

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1 Green Computing Starts With Virtualization Anand Shrivastava Product Marketing Manager, VI November 6, 2008

2 FACT The rapidly growing carbon footprint associated with information and communications technologies, including laptops and PCs, data centers and computing networks, mobile phones, and telecommunications networks, could make them among the biggest greenhouse gas emitters by 2020 Source: The McKinsey Quarterly How IT can cut carbon emissions

3 Agenda The Data Center Climate Crisis Prioritizing Power & Cooling Initiatives The Impact of Server Consolidation The Future of Power Management VMware Customer Examples

4 Data Centers are Becoming More Dense Copyright 2006 VMware, Inc. All rights reserved.

5 Data Center Designs are Inefficient Power consumed = heat which must be evacuated Hot/cold aisles are often not set up properly Airflow redundancy is needed account for hot pockets and humidity Heat dissipation is more expensive than power Copyright 2006 VMware, Inc. All rights reserved.

6 As a Capitalist... Energy costs are skyrocketing and consuming budgets $4.5 billion in electricity costs in U.S. in 2006* Costs to build new data centers are material : $1,000 per sq ft. Carbon offsets: $300 per server * EPA report to Congress on Data Center Energy Efficiency, July 2007 Over the next 5 years, most enterprise data centers will spend as much on energy (power and cooling) as they do on hardware infrastructure. Source: Gartner, February 2007

7 As an Environmentalist Data Centers are huge CO2 factories 1 full rack of blade servers = kw = peak demand of 30 homes U.S. data centers = 45 billion kwh, 1.5% of total consumption* This electricity use has more than doubled since 2000 Every server removed or powered down saves ~12.5 tons of CO2 emissions Equivalent to taking ~1.5 cars off the road (12, mpg) or planting 55 trees a year * EPA report to Congress on Data Center Energy Efficiency, July 2007

8 As a Data Center Operator No more power available Want to move your data center? Limited floor space / capacity No new services! Growth is constrained Heat = server failure = service interruption Your job?

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10 Volume Servers are Driving Power Consumption

11 Volume Servers are Driving Power Consumption All servers = 40% of total data center electricity use Volume servers = 85% of all server electricity use Up from 70% in 2000 Volume server consumption has grown 17% annually since 2000

12 Virtualization is THE Game Changer Virtualization

13 Server, Storage, and Network Consolidation Servers Storage Network Facilities BEFORE VMware 1,000 Direct attach 3000 cables/ports 200 racks 400 power whips AFTER VMware 80 Tiered SAN and NAS 300 cables/ports 10 racks 20 power whips

14 Energy Consumption for Power & Cooling Nameplate ratings of servers before and after consolidation: Type Qty Power Rating 1 CPU W 2 CPU W 4 CPU W 8 CPU W Type Qty Power Rating 1 CPU W 2 CPU W 4 CPU W 8 CPU W On average servers consume 50-67% of max power capacity Idle servers consume 30-40% of max power capacity/rating Copyright 2006 VMware, Inc. All rights reserved.

15 Max Power Capacity Rating % of Max BEFORE 1 CPU W 2 CPU W 4 CPU W 8 CPU W x 67% x 67% = Power: $285,243 = Cooling: $356,554 AFTER 1 CPU W 2 CPU W 4 CPU W 8 CPU W kw / Yr 407 kw/hr x 24 x kw/hr x 24 x 365 x $0.08 x $0.08 Cost / kwh Cost / Yr Power Savings at Utility Company = Power: $37,210 = Cooling: $46,513 Savings / Year = Savings: $558,072 Rule of thumb: ~$600 and 7,000 kwh saved per year per workload virtualized Copyright 2006 VMware, Inc. All rights reserved.

16 VMware Customer Server Consolidation Ratios Conseco Finance 8:1 State of Montana 8:1 7-Eleven 10:1 Antares IT 10:1 National Gypsum 10:1 Applied Innovation 15:1 AIG Technology 20:1 Qualcomm 30:1

17 VDI Energy Savings Consolidate 1,000 desktops to 16 2-way quad-cores, 32GB RAM 8 users per core or 64 per server Desktops run 12 hours per day and servers run 24 hours Virtual Desktop Infrastructure PCs Server Thin Client Total Operating Power (watts/hour) Cooling Power (watts/hour) Power / Day (watts) 1.44 M 632, , ,813 kwh / year 518, , , ,333 Cost / year / $0.12/kWh $62 $27 $13 $40 Reduce power consumption by 35%! Save $22 and 184 kwh per PC per year

18 New Levels of Flexibility / Automation PHYSICAL ESX 2 / VC 1 VMWARE INFRASTRUCTURE 3 R P1 R P2 HW HW HW HW HW HW HW HW HW HW HW HW HW HW HW HW HW HW INDUSTRY FIRSTS: Logical Resource Pooling Distributed Resource Scheduler (DRS) Distributed Power Management (DPM

19 Distributed Power Management (DPM) Business Demand Consolidates workloads onto fewer servers when the cluster needs fewer resources Places unneeded servers in standby mode Brings servers back online as workload needs increase Power Off Resource Pool Minimizes power consumption while guaranteeing service levels No disruption or downtime to virtual machines

20 Power Savings with DPM Watts No DPM With DPM 50% Savings During VMmark

21 VMware Delivers Higher and Safer Consolidation Memory Optimization+Dynamic Balancing = Higher Utilization ESXi: 32MB thin, production-proven, OS-independent, secure hypervisor Customer Example: Large manufacturer with 50k+ employees Mainly HP DL585s with 16GB physical RAM Many production workloads across multiple Oses: Java, Citrix, SQL Server, ~60 VMs (1GB RAM each) per ESX Server ~60GB of aggregate virtual memory allocated Almost a 4:1 overcommit ratio!

22 Energy Efficiency at Wyse Before Virtualization 60 x 2-CPU servers 4 racks 16 rack mount UPSs Backup AC running in parallel 550W per server = 290 MwH / yr Cooling = 290 x 1.25 = 363 MwH TOTAL = 653 MwH Annual cost: $78K (12 cents / KwH) After Virtualization 70 VMs on 5 x 2-CPU servers (14:1) ½ rack 2 rack mount UPS Backup AC on standby only 700W per server = 30 MwH / yr Cooling = 30 x 1.25 = 38MwH TOTAL = 68 MwH Annual Savings: 585 MwH (90%) Annual cost: $8K Annual savings: $70K => 20% of total site power bill <= Fully automated DRS with 7,000+ VMotions in last 6 months

23 Chitale Dairy Situation: Hard to source qualified IT Staff as servers setup across two data centers in a town 500 kilometers from the nearest large city. IT to pace up with business growth of 15% yearly. We determined that if a server became corrupted, we would need six or seven hours to fully restore it,... - Vishvas Chitale, Director, Chitale Dairy Results: Reduced server hardware acquisition costs by 50% Cut software acquisition costs by 75% Reduced server deployment times from three weeks to three hours and restore a corrupted server in 10 minutes rather than 6 to7 hours Eliminated second data center, with consequent 50% reduction in power, cooling and real estate, by consolidating from 10 physical servers to 3. Reduced storage costs by 25%

24 Conclusions How Customers Win Server consolidation and increased utilization decrease power consumption: energy savings are natural by products Virtualization has inherent benefits such as workload mobility that allow for superior power management Virtualization lets customers reclaim expensive data center floor space and avoid costly data center expansion Do more with less virtualization offers improved service levels, responsiveness and availability with a smaller energy footprint Virtualization is the best initiative to reduce energy

25 Assessing the Opportunity and Potential Impact Green Calculator: Quick online assessment of economic and environmental impact of server consolidation Online ROI/TCO Calculator: More robust and customizable analysis of virtualization s impact on datacenter power and cooling Virtualization Assessments: Professional capacity planning analyses to Profile physical environment Identify candidate workloads Assess energy impact Define implementation strategy

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27 Start with a Virtualization Assessment Ideal for companies that require a business justification to use virtualization for a server consolidation project Illustrates: 3-year TCO / ROI Target workloads to virtualize Deliverables: ROI model Assessment report Server performance and utilization Formal presentation of findings

28 Q&A Anand Shrivastava Product Marketing Manager, VI November 6, 2008

29 TCO Calculator

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31 1-800 Radiator Situation: Rapid growth: 3 new franchises opened per week Out of power, A/C maxed out, racks full Before we knew it our computer room was almost at maximum power capacity, our computer racks were full, our switches were all used, and our air conditioning was on continuously. Rather than spend thousands on new power systems, racks, and air conditioning, we chose to leverage VMware s product line to allow our company to keep pace with our growth. -- Mike Carvalho, CTO Results: Removed 31 physical servers out of production 40 workloads on 9 ESX hosts $6,000 PG&E rebate check 25-percent reduction in power and cooling costs

32 Solving the Climate Crisis Depends on Efficiency Gains

33 Energy Efficiency Programs Validation of server consolidation is recognized as a calculable and impactful energy efficiency measure Incentive range from about $150 to $300 per server removed Paid at 8 cents per KwH Max of $4 million per site (PG&E) Currently available throughout California PG&E progam: SoCal Edison: SDG&E/Sempra: Programs are expanding quickly ask your energy provider!

34 How Does Utilization Increase Power Consumption? CPU Utilization Increase 15% more power

35 Higher Asset Utilization Defers Data Center Expansion Customer Defers $100M investment by 3 years through increased space utilization Capacity $ 100+ M Investment for Data Center Expansion Stretch Real Estate Utilization / Delay Expansion Available Capacity Addressable Capacity Increased Addressable Capacity / Cubic Feet Application Demand Time