IBM Energy Efficiency Initiative Launch May 2007 Steven Sams vp - global site and facilities services Copyright IBM Corporation 2007
agenda 1 IBM Energy Efficiency Initiative framework 2 IBM Site and Facilities Services 3 IBM Technology and Solutions 4 Energy Efficiency and Tivoli 5 Panel Question & Answer Session
agenda 1 Your data center challenges 2 IBM Energy Efficiency Initiative framework 3 New IBM offerings 4 Partner enabled solutions 5 Energy efficiency incentive finder 6 Why IBM
Facing new pressures: Data centers are at a tipping point According to Gartner, by 2008, 50 percent of current data centers will have insufficient power and cooling capacity to meet the demands of high density equipment." 1 Increased Computing Demand Changing Cost Dynamics Data Center Lifecycle Mismatch Energy usage is a common theme impacting IT capability 1. Gartner, Data Center Power and Cooling Challenge, Gartner 25 th annual data center conference presentation, Michael A. Bell, December 2006.
The IBM Energy Efficiency Initiative Principles 1 Energy usage in the data center has a significant impact today and will have an even greater impact in the future 2 Real solutions are available now that can reduce data center energy usage 3 To meet the challenge, collaboration is a must across IT technology vendors, data center design and build businesses, infrastructure technology providers, energy utilities and governments 4 Think green. And think ahead. Understanding your energy usage is key. Expert advice can help make savings real
Where does the energy go? The data center energy challenge affects the physical data center and the IT infrastructure Cooling systems Electrical and building systems 35 30 25 20 15 10 5 0 Chiller/ Cooling Tower Humidifier Computer Room Air Conditioner Information Technology Power Use Power Distribution Unit Uninterruptible Power Supply Switch/ Gen Lighting
IBM s Energy Efficiency Initiative is a framework of end-toend capabilities starting with industry leading technologies Systems and technology Systems and Technology Leadership in energyefficient servers and storage Supplemental cooling systems - Rear Door Heat Exchanger
We extend our capabilities with services Systems and technology Data Center services Data center services Data center assessments Dense computing readiness Thermal Health check Data Center Strategy Data Center Design and Construction Data Center Consolidation and Relocation
Our management systems link technology to infrastructure providing customers with insight and control Systems and technology Data Center services Management systems Management systems Cool Blue Tivoli Enterprise Management IBM Director Power Executive Power Configurator Virtualization
The world s leading providers of data center infrastructure embrace IBM s energy efficiency initiative Systems and technology Data Center services Management systems Data center infrastructure partners
Going green requires close collaboration with energy providers and government energy agencies Systems and technology Data Center services Management systems Data center infrastructure partners Collaboration Energy efficiency awareness, programs and incentives Collaboration: government, utilities
The IBM Energy Efficiency Initiative puts all the pieces together to help you meet the data center energy challenge Systems and technology Data Center services Management systems Data center infrastructure partners IBM Energy Efficiency Initiative A comprehensive end to end set of capabilities from IBM, our alliances and the communities in which we live Collaboration: government, utilities
Data Center Energy Efficiency Assessment facts you need IBM provides a comprehensive, fact-based analysis that prioritizes tactical plans across your data center to improve efficiency and reduce costs. 35 30 25 20 Cooling systems Electrical and building systems 15 Offering benefits Energy savings: Infrastructure upgrades can provide 15-40 percent savings 10 5 0 Chiller/ Cooling Tower Humidifier Computer Information Power Uninterruptible Switch/ Room Air Technology Distribution Power Gen Conditioner Unit Supply Power Use Lighting Recommendations include Right size power and cooling systems Use high efficiency UPS systems Implement alternative cooling solutions Energy Bill Cost ($USD) 3,000,000 2,500,000 2,000,000 1,500,000 1,000,000 500,000 Estimated Electricity Annual Savings Facilities IT 0 Current Practices Optimize Existing Infrastructure Upgrade Infrastructure
Data Center Energy Efficiency Assessment using a simple standard to assess your data center s energy efficiency (1) Compares total power used by the data center to the power used by the technology Provides a market comparison Demonstrates range for opportunity improvement Most energy efficient Objective Current Least energy efficient 1.5 2.0 2.5 3.0 3.5 (1) Standard supported by Green Grid, originally published by Lawrence Berkley National Laboratory, 2003
Web-based tool provides an energy efficiency self assessment Free self assessment available on the web to highlight opportunities for energy efficiency improvement Assessment Process Twelve questions Three main categories Awareness of power related issues Deployment of tactical quick hitters Extent of strategy data center planning Report on improvement areas IBM service recommendations Provide detailed analysis Develop cost justified recommendations www.ibm.com/itsolutions/optimizeit/cost_efficiency//energy_efficiency/services.html
Data Center Stored Cooling Solution the cool battery A turnkey, patented thermal storage solution to improve the efficiency of the cooling system and reduce energy costs. The ice cube for your data center. Offering benefits Improved efficiency: 40-50 percent improvement in chiller efficiency Reduced cost: Shift up to 30 percent of energy usage out of peak time Access to lower cost power Free cooling
Scalable Modular Data Center efficiency within weeks A cost-effective, high quality 500-1,000 square foot (50-100 square meters) data center. The unit can be designed and installed in nearly any working environment in less time than a traditional raised floor. Offering Benefits Rapid deployment: A fully functional, cost effective data center in 8-12 weeks Energy efficient design: UPS systems and in-row, load variable cooling High quality: complete turn-key solution from planning to install and start-up Lower cost: up to 15 percent lower than traditional data center design and build
Optimized Airflow Assessment for Cabling under floor savings A comprehensive assessment of the existing data center cabling infrastructure with cabling actions. The service is designed to improve cooling airflow, simplify change management and improve cabling resiliency. Before Offering Benefits Improved air flow under raised floor: creates a more energy efficient data center Fewer hot spots due to bypass airflow After Savings on operational costs: reductions associated with cable installation and change management Improved resiliency: Elimination of potential for points of failure
Intelligent and Green Building Asia Pacific region Design and construction of an intelligent building that integrates the physical location with the building systems to provide a safe, efficient and ecologically friendly working environment. Offering Benefits Automatic regulation: Indoor environmental conditions controlled by intelligent use of natural light, fresh air and other location characteristics. Enables up to 30 percent reduction of total energy consumption Environmental control: Manages fire, security and air conditioning systems to provide a safe, healthy and comfortable environment Mabuchi Motors IBM Nankoh Data Center Architectural culture Award Of Chiba Prefecture IBM Hakosaki Flexibility: Open architecture serves multiple user requirements China Intelligent Building COCSO IB
A world class set of global partner enabled offerings bringing leadership technologies to our clients
Energy efficiency incentive finder - a community of energy users and energy providers where everyone can benefit An open, Web-enabled clearinghouse for data center energy efficiency programs offered by utilities and governments A "one-stop shopping" website For energy efficiency programs available in your community and applicable to your data center Participating providers around the world An alternative to information available from existing disparate locations
IBM has helped companies around the globe increase their energy efficiency and reduce expenses Data Center and Facilities Strategy Super computing: Built the #1 super computing center in Europe (Mare Nostrum) for high redundancy with extremely dense computing environment Financial: Built 50 large Chinese data centers including top 5 banks. IT Facilities Consolidation and Relocation From many to few: ICBC -38 to 2 data centers, $180M in annual savings Without interruption: 4 to 1 centers with no interruption, ~$11M annual savings When uptime is critical: Relocation of Wake Medicals hospital data center without patient impact IT facilities assessment, design and construction Deep experience: > 30 M sq ft of raised floor Global breadth: Building largest customer data centers for Egypt Telecom and India Wide array of assessments: Energy, resiliency, new technology adoption, etc All size businesses: Bryant University Specialized Facilities A green leader: Designed and built 35% of top rated green / intelligent buildings in Japan + top awards in China When precision matters: Design and building of clean rooms for chip fabrication and pharmaceutical companies
Potential savings are huge Up to 40% annual energy savings for infrastructure alone Representative of a typical, medium size data center of 25,000 sq ft Savings at $0.12 per kilowatt hour = $735,000 Savings at $0.18 per kilowatt hour = $1,103,000 Or the equivalent of 850 cars off the road Optimizing across the enterprise yields dramatically greater savings Very small data center of 3,500 square feet Consolidated from 4 sites Yielded $7 M operational savings Plus $4 M in equipment savings
Proposed client next steps Let us help you get the facts on energy efficiency You can t manage what you can t see (or measure) Take the Energy Efficiency Web Self Assessment Leverage IBM experience in energy efficiency and resiliency Apply it to the tactical problems your data center faces Use it across your enterprise including data center consolidation and new data center build plans www.ibm.com/itsolutions/optimizeit/cost_efficiency/energy_efficiency
IBM Energy Efficiency Initiative: IBM Project Financing TM Planning and Preparation: Transitioning to more Energy Efficient solutions Disposition: Environmentally compliant disposal, data protection Funding Energy Efficiency Use & Management: Matching technological and economic life; Flexibility Acquisition: Meeting capital requirements for your Data Center Solutions Driving Value Throughout the Project Lifecycle Conserves cash Aligns repayment streams with anticipated project benefits Facilitates planning and tracking of project costs Improves budget management with predictable costs Services Software (IBM/ISV) IT Hardware OEM Equipment Data Center Equipment
Environmentally compliant disposal IBM Asset Recovery Solutions is a suite of services for a complete asset disposal solution Buyback services for marketable assets Disposal of assets without value using environmentally compliant processes Secure disk overwrite services in accordance with high level security standards Packaging and transportation services available About 40,000 units processed per week worldwide Less than 1% sent to landfill, none hazardous material Annually invest more than $100M in infrastructure to support remanufacturing and recycling best practices To optimize TCO benefits, companies require a corporate standard disposition strategy -- Gartner Group
IBM Energy Efficiency Initiative IBM Technology and Solutions Mike Desens Vice President, Systems Development Copyright IBM Corporation 2007
IBM Cool Blue Portfolio Systems and technology Data center services Management systems Data center infrastructure partners Collaboration: government, utilities Leadership Energy efficient servers and storage Supplemental cooling systems Rear door heat exchanger Tivoli Enterprise management IBM Director Power Executive Power Configurator Virtualization
Systems Technology System Technologies System Power, Packaging & Cooling Processors & Chips Technology Virtualization : Server, Storage, and Networking Power and Cooling Advances : BladeCenter Package Enhancements IT equipment sharing power and cooling subsystems Improving Power Supply/Regulator Efficiency Adding additional function to PDU s Auxiliary Cooling (Rear Door Heat Exchanger) Low Power modes and dynamics Intel, AMD Power Mainframe New Technologies Reduce Leakage current with new technologies such as nano technology and vacuum insulation.
Technology and Processors Technology Airgap Technology in chips to reduce power by 15% or increase performance by 35% at current power levels. Processor Additional Power Management modes Max Power Save Performance Aware Power Save Power Capping Turbo Acoustic Optimization Traditional
Power Supply Efficiency Design of New Power supplies are planned to be designed to meet the 80/20 requirements. Greater than 80% Efficiency for any load greater than 20 %. Greater weight will be given to 40-70% load range over the 100% load in Design & Purchase Decisions Redundant system typically run at less than 50% of load Typical Customer configurations run in 40-70% range Efficiency 100 95 90 85 80 Power Supply Efficiency Selection Point (100% Load) Increased Emphasis Will Be Placed on 40-70% Load Range 20 30 40 50 60 70 80 90 100 % of max load Historical Power Supply
Packaging Enhancements Calibrated Vectored Cooling Package design features that direct cooling to specific locations based on thermal needs Leverages zone cooling Leverages counter-rotating fan blades to hexagonal air holes. More efficient heat sink designs High efficiency Power Supplies Improved efficiency range
Rack / Data Center Liquid Cooling Data Center Processor Building utility or local chiller Chilled Water Chilled Water CRWC Common CRWC CRWC CRWC Rear Dual loop Front Air Flow Top View CRWC: Computer Room Water Conditioning Unit Water cooled Cold Plates Cold Plate Cover Heat Exchanger Base Products Remain Air Cooled At least 15% energy savings on cooling energy by switching from air to water
Virtualization takes power efficiency to the next level Virtualization creates largest impact to Power/cooling in Data Centers Virtualization improves server and storage utilization which: Reduces the number of servers and therefore, Space, Power, & Cooling required Allows for targeted thermal solutions for efficiencies Allows for more efficient power distribution, backup, and regulation Enables dynamic resource management for Deployment and Operational Optimizations Some examples Base Consolidation Policy Based Consolidation Policy Based Provisioning
Energy Management Example Server Consolidation Conserves Energy APP 1 APP 2 APP 3 APP 4 8 APP 7 APP APP 8 APP 1 APP 2 APP 3 APP 4 APP 5 APP 6 APP 7 System 1 System 2 System 4 Advanced Virtualization 10% busy 2KW 10% busy 2KW 10% busy 2KW 70% busy 4KW Total Power 8KW Total Power 4KW Server consolidation exploiting virtualization is a very effective tool in reducing energy costs
Storage virtualization Pool and share I/O Resources for: Improved utilization Reduced energy needs Combined utilization 50% IBM IBM SAN Volume Controller EMC IBM EMC HP Hitachi EMC IBM Combined utilization 90%
Management Components Policy Based Management Platform Management Planning Tools Policy Automation : Power-aware Deployment Request based Deployment Power-Performance Management Systems Director Additions Power Executive (Power & Thermal Support) Measure, Monitor, Trending Control and Capping Energy Capacity Planning Tools Online planning tools that include Power and Thermal capacities
Online Configuration Tools with Power Calculators Power needs of the specific configuration
Three Fundamentals of Power Management 1. Measure/Trend Power Consumption (Phase 1) Determine the power (watts) is being consumed now Why assume label power? Power meter (internal) or PDU with watt meter (external) 2. Cap or Allocate Power Correctly (Phase 2) Power consumed is a function of the HW options, OS, Apps and App footprint application and the application data footprint Allocate power based on past history using power measurements: to match the need of each server to match the P/T limits of the data center 3. Reduce power consumed (Phase 3) CPUs can reduce power in periods of low utilization Save power costs Power Executive will provide - A view of power consumption across the data center (units of hrs, weeks, months) Using your applications and workloads! Reducing your power/thermal requirements (saving infrastructure costs ex.hvac, UPS, Generators) Reducing power consumption during periods of low utilization (saving power costs - ex Util. company)
Power Executive in action! Manage Power at the rack and server level Compare actual vs. name plate power at system level View inlet and exhaust temperature Track heat emitted Compare rack actual power vs. Label Power Trend power use over time Trend temperature over time
Simple Example Set Power Cap to Peak - Allocation Simulated graph of actual power consumed by the server over time. Today, label power is the only option within the server Label Power Power Configurator Set Power Cap Power typically allocated to a server Improvement over label power Based on measured power Over Allocated Power not converted into compute cycles Allocation Model of Server Wasted Power Allocation Power budget not converted into compute cycles Power (watts) Power Configuration -Planning estimate -Based on typical HW power consumption Proper Power Allocation Power budget converted into compute cycles Time Power Exec Trending (weeks, months)
Simple Example Trading off Power for Performance A graph of actual power consumed by the server over time. Today, label power is the only option within the server Set Max 1 Power Limit Very conservative, unmeasurable delay Set Max 2 Power Limit Less conservative, little measurable delay Set Max 3 Power Limit - Aggressive, impacts throughput Label Power Set Max Set Max 1 Set Max 2 Set Max 3 Power (watts) Sec Time Peak work delayed Power Exec Trending (weeks, months) Over Allocated Max 1 Savings Max 2 Savings Typically, allocate more than server ever demands The amount of power saving you tune for is dependant on many factors: Available Power/Cooling in the data center Cost of power, time of day Priority of workload Max 3 Savings n 4 3 2 1 Allocate from Server #4 Allocate from Server #3 Allocate from Server #2 Power-On Another Server Using PEx Allocation tools
For systems without built in power meters, we will gather information from supporting devices
Energy Management Policy Example Workload Migration Enables Dynamic Server Consolidation APP 1 APP 2 System 1 APP 3 APP 4 System 2 Use of hibernation, powering off servers, and other low power states in combination with other workload balancing and provisioning tools can provide a valuable tool in management of Power and Thermal issues. APP 5 APP 6 Automate Energy Control Policy based automation System 3 Control Energy Consumption Consolidate workloads to reduce
Management Components Enterprise Management Policy Based Management Platform Management Planning Tools Tivoli Enterprise Management : ITM Monitoring CCMDB Extensions and TDW ITUAM Accounting Policy Automation : Power-aware Deployment Request based Deployment Power-Performance Management Systems Director Additions Power Executive (Power & Thermal Support) Measure, Monitor, Trending Control and Capping Energy Capacity Planning Tools Online planning tools that include Power and Thermal capacities
IBM Energy Efficiency Initiative Energy Efficiency and Tivoli Chris O Connor Vice President, Tivoli Development Copyright IBM Corporation 2007
We need to be seeing servers and other equipment with energy efficient power supplies as an option. I understand this may add some costs to the servers but I believe there is a legitimate ROI from the energy savings and delayed costs associated with building a new data center. Reducing our demands on energy is also one of our primary sustainability goals as a company. Fortune 500 CIO Tivoli can help you manage your enterprise today in an energy efficient manner. Tomorrow there will be even more. IBM/Tivoli Campus 11301 Burnet Rd Austin, TX 78758 4-Star Green Building Rating LEED Certified
Tivoli s Current Set of Energy Management Functions IBM Tivoli Monitoring Composite Application Manager Change and Configuration Management DB Monitor Consumption Take Action- Alerts Application vitality Reduce Consumption Consolidate Resources Standby Resources Eliminate Resources IBM Tivoli Provisioning Mgr Intelligent Orchestrator TotalStorage Productivity Center IBM Tivoli Workload Scheduler Reduce Expenses Job Scheduling During Off-Peak Hours Automate Utility Management (Intelligent Utility Networks) Apply IT like management to utility grids Maximize Efficiency Maintain assets for efficient operations IBM Tivoli NetCool IBM Tivoli Maximo
Monitor, Manage and Reduce Consumption Knowing What s in Your Enterprise CCMDB Discover devices in your enterprise IBM Tivoli Monitoring Monitor, Manage, Alert for use Adapt application usage to power constraints Consolidate / eliminate underutilized resources
Power Management within IBM Service Management IBM Service Management IT CRM & Business Mgt Service Delivery & Support Service Deployment Information Mgt Business Resilience Query Data Execute Actions Change and Configuration Management Database (CCMDB) Load Data Business Application Mgt Server, Network & Device Mgt Storage Mgt Security Mgt Configure, Provision Target System Discovered Configuration Data, Alert Data, Metrics Data ITM Agent Power Executive
Reduce Consumption Through Provisioning De-provision Standby Servers Active Servers Standby Servers Provisioned TPM, TPC, TIO 875 Servers De-provisioned 125 Servers Power Savings In Standby Mode
Data Center portal charts 350 Energy Consumption kwh 300 250 200 150 326 13 52 261 100 50 0 Active Servers Standby Servers Savings 15.6% Savings
Reduce Energy Expenses Scheduling Work During Off Peak Energy Hours IBM Tivoli Workload Scheduler Schedule batch processing windows to optimize server utilization and power consumption. IBM Tivoli Dynamic Workload Broker Dynamically load balance across a virtualized pool of resources based on workload requirements, resource availability and power considerations to further reduce energy consumption. Tivoli Workload Scheduler Tivoli Dynamic Workload Broker Enterprise Workload Manager Job1 Job2 Job3 Job4 Job4 Job5 IBM Enterprise Workload Manager Further fine tune load balancing and resource utilization by prioritizing workloads according to business policies including power consumption policy Policy-based resource utilization
Maximize Efficiency for Facilities Maintain Peak Performance with Regular Maintenance Track maintenance history Ensure regular maintenance to optimize asset operational efficiency Condition monitoring support to enable proactive maintenance practices Address pending problems before failure to maintain efficient operation Decrease unplanned downtime
What is the Intelligent Utility Network? The Intelligent Utility Network links electricity with communications and computer control to create a highly automated, responsive and resilient power delivery system. BPL (Broadband Power Line) Sensor FIBER LINK Internet Web Services EPRI - 2005 Low Voltage Line Injector node Smart Meter
IUN Enabled Applications Delivers Significant Benefits System Operations Mgmt Planning & Forecasting Economic Dispatch Switching Control Information Integration Outage Management Outage Detection & Management Fault Location & Restoration Work force Management / Mobile Workforce Customer Services Distribution System Mgmt Asset Management - Equipment Health Monitoring - Condition Based Inspection / Maintenance Distribution and Feeder Automation Voltage / VAR Management Power Quality Management Surveillance Cameras Communications Infrastructure Customer Energy Mgmt Advanced Metering Smart Office/home support Direct Feedback for Energy Conservation True pricing fast switching On-site Generation
Future: Distribute Energy Use Charges Know What IT Costs Tivoli Usage and Accounting Manager Who used what? How much did IT cost? Chargeback
Research Project: Adding Frequency Feedback to WXD Overachieving on Average Response Time SLA No power management Response time Power management, using Policy1000 Response time Average Response Time SLA Maintained No Power Management Power Power Less Power Consumed CPU Utilization Fluctuates with Workload CPU CPU CPU Utilization Higher due to Slower Clock Frequency Identical Workloads in Both Runs Workload intensity Workload intensity Identical Workloads in Both Runs Avg power = 107.9 watts Avg power = 96.6 watts (savings of 10.5%) Use Less Power, Maintain Your SLAs
Future: Integrate Energy into IBM Service Management IBM Service Management IT CRM & Business Mgt Service Delivery & Support Service Deployment Information Mgt Business Resilience Change and Configuration Management Database (CCMDB) Business Application Mgt Server, Network & Device Mgt Storage Mgt Security Mgt Data and Relationships Identify energy supplies Associate servers with energy supplies Power Supply1
Tivoli in Energy and Efficiency Today Tivoli enables many ways for clients to manage energy Monitoring Consolidation Provisioning Workload Scheduling Automation and Intelligent Utility Networks New functions will enhance the Tivoli offering Accounting Energy capacity planning Server power management
The IBM Energy Efficiency Initiative A comprehensive end-to-end set of capabilities from IBM, our alliances and the communities in which we live Systems and technology Data center services Management systems Data center infrastructure partners Collaboration: government, utilities
A world class set of global partners bringing leadership technologies to our clients
Copyright information Copyright IBM Corporation 2007 IBM Global Services Route 100 Somers, NY 10589 U.S.A. Produced in the United States of America 5-07 All Rights Reserved IBM and the IBM logo are trademarks or registered trademarks of International Business Machines Corporation in the United States, other countries, or both. Other company, product and service names may be trademarks or service marks of others. Use of the information herein is at the recipient's own risk. Information herein may be changed or updated without notice. IBM may also make improvements and/or changes in the products and/or the programs described herein at any time without notice. References in this publication to IBM products or services do not imply that IBM intends to make them available in all countries in which IBM operates.