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Presentation for the 7th ITU Symposium on ICTs, the Environment and Climate Change

Project GreenLight. Presentation for the 7th ITU Symposium on ICTs, the Environment and Climate Change Greening ICT Infrastructures Session 5/30/12. Dr. Gregory Hidley California Institute for Telecommunications and Information Technology, University of California at San Diego (UCSD).

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Presentation for the 7th ITU Symposium on ICTs, the Environment and Climate Change

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  1. Project GreenLight Presentation for the 7th ITU Symposium on ICTs, the Environment and Climate Change Greening ICT Infrastructures Session 5/30/12 Dr. Gregory Hidley California Institute for Telecommunications and Information Technology, University of California at San Diego (UCSD)

  2. ICT is a Key Sector in the Fight Against Climate Change Applications of ICT could enable emissions reductions of 7.8 Gt CO2e in 2020, or 15% of business as usual emissions. But it must keep its own growing footprint in check and overcome a number of hurdles if it expects to deliver on this potential. www.smart2020.org

  3. Application of ICT Can Lead to a 5-Fold GreaterDecrease in GHGs Than its Own Carbon Footprint “While the sector plans to significantly step up the energy efficiency of its products and services, ICT’s largest influence will be by enabling energy efficiencies in other sectors, an opportunity that could deliver carbon savings five times larger than the total emissions from the entire ICT sector in 2020.” --Smart 2020 Report Major Opportunities for the United States* • Smart Electrical Grids • Smart Transportation Systems • Smart Buildings • Virtual Meetings * Smart 2020 United States Report Addendum www.smart2020.org

  4. Project GreenLight Motivation: The CyberInfrastructure (CI) Problem • Compute energy/rack : 2 kW (2000) to 30kW+ in 2012 • Cooling and power issues were becoming a major factor in CI design • IT industry is “greening” huge data centers … but today every $1 spent on local IT equipment will cost $2 more in power and overhead • Academic CI is often space constrained at departmental scale • Energy use of growing departmental facilities is creating campus crises of space, power, and cooling • Unfortunately, little was known about how to make shared virtual clusters energy efficient, since there has been no campus financial motivation to do so • Challenge: how to make data available on energy efficient deployments of rack scale hardware and components?

  5. The NSF-Funded GreenLight ProjectGiving Users Greener Compute and Storage Options • PI is Dr. Thomas A. DeFanti • $2.6M over 3 Years to construct GreenLight Instrument • Start with instrumented Sun Modular Data Centers • Sun Has Shown up to 40% Reduction in Energy • Measures Temperature at 5 Levels in 8 Racks • Measures power Utilization in Each of the 8 Racks • Chilled Water Cooling input and output temperatures • Add additional power monitoring at every receptacle • Add web and VR interfaces to access measurement data • Populate with a variety of computing clusters and architectures • Traditional compute and storage servers • GP GPU arrays and specialized FPGA based coprocessor systems • DC powered servers • SSD equipped systems • Turn over to investigators in various disciplines • Measure, Monitor and Collect Energy Usage data • With the goal of maximizing work/watt

  6. The GreenLight Project: Instrumenting the Energy Cost of Computational Science • Focus on 5 Communities with At-Scale Computing Needs: • Metagenomics • Ocean Observing • Microscopy • Bioinformatics • Digital Media • Measure, Monitor, & Web Publish Real-Time Environmental Sensor Output • Via Service-oriented Architectures • Allow Researchers Anywhere To Study Computing Energy Cost • Enable Scientists To Explore Tactics For Maximizing Work/Watt • Develop Middleware that Automates Optimal Choice of Compute/RAM Power Strategies for Desired Greenness • Teach future engineers who must scale from an education in Computer Science to a deeper understanding in engineering physics Source: Tom DeFanti, Calit2; GreenLight PI

  7. GreenLight Research activitiesLeading to Greener CI Deployments • Computer Architecture – FPGA, GP GPU systems • Rajesh Gupta/CSE • Software Architecture – Virtualization, memory management, networking and modeling • Amin Vahdat, Ingolf Kruger/CSE • CineGrid Exchange – mixed media storage, streaming, and management • Tom DeFanti/Calit2 • Visualization – Using 2D and 3D modeling on display walls and CAVEs • Falko Kuster/Structural Engineering, Jurgen Schulze/Calit2 • Power and Thermal Management • Tajana Rosing/CSE • DC Power Distribution • Greg Hidley/Calit2 http://greenlight.calit2.net

  8. Monitoring, Modeling and Management GLIMPSE Decision Support System http://glimpse.calit2.net Calit2/UCSD [http://greenlight.calit2.net]

  9. Situational Awareness Dashboard interface “Tap” for details Power utilization Enterprise reach Multiple perspectives Calit2/UCSD [http://greenlight.calit2.net]

  10. Datacenter vitals Input/Output sampling Live/average Fan speeds Live/Average data Live Temperature Environmentals Heat Exchangers Calit2/UCSD [http://greenlight.calit2.net]

  11. Domain specific views Control elements Real-time heatmap Realistic models Calit2/UCSD [http://greenlight.calit2.net]

  12. Airflow dynamics Live fan speeds Airflow dynamics Calit2/UCSD [http://greenlight.calit2.net]

  13. Heat distribution Combined heat + fans Realistic correlation Calit2/UCSD [http://greenlight.calit2.net]

  14. Heat Trends Heat exchangers Hotspot identification Trends over past 24h Calit2/UCSD [http://greenlight.calit2.net]

  15. Past changes in airflow Fan slices rpm Heat distribution changes Potential for failures Trends over past 24h Calit2/UCSD [http://greenlight.calit2.net]

  16. Power spikes IT assets Computation zone Unused asset Average load Peak computation 1 minute resolution Calit2/UCSD [http://greenlight.calit2.net]

  17. Zoom-in Analysis History over several days. Zoom on desired time range. Hint on each sample point. Automatic average area. Multiple sensors per asset with up to 1 min sampling resolution. Calit2/UCSD [http://greenlight.calit2.net]

  18. DC Power: UCSD is InstallingSolar and Fuel Cell DC Electricity Generators San Diego’s Point Loma Wastewater Treatment Plant Produces Waste Methane UCSD 2.8 Megawatt Fuel Cell Power Plant Uses Methane 2 Megawatts of Solar Power Cells at UCSD, 1 MW to be Installed off campus

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