Presentation for the 7th ITU Symposium on ICTs, the Environment and Climate Change
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Transcript of Presentation for the 7th ITU Symposium on ICTs, the Environment and Climate Change
Presentation for the 7th ITU Symposium onICTs, the Environment and Climate Change
Greening ICT Infrastructures Session5/30/12
Dr. Gregory HidleyCalifornia Institute for Telecommunications and Information Technology,
University of California at San Diego (UCSD)
Project GreenLight
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
Application of ICT Can Lead to a 5-Fold GreaterDecrease in GHGs Than its Own Carbon Footprint
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
“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
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?
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
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
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
Situational Awareness
Calit2/UCSD [http://greenlight.calit2.net] 9
“Tap” for details
Dashboard interface
Power utilization
Multiple perspective
s
Enterprise reach
Datacenter vitals
2010.08.20 Calit2/UCSD [http://greenlight.calit2.net] 10
Input/Output
sampling
Live/Average
dataLive
Temperature
Live/average
Fan speeds
Environmentals
Heat Exchangers
Domain specific views
2010.08.20 Calit2/UCSD [http://greenlight.calit2.net] 11
Control elements
Real-time heatmap
Realistic models
Airflow dynamics
2010.08.20 Calit2/UCSD [http://greenlight.calit2.net] 12
Live fan speeds
Airflow dynamics
Heat distribution
2010.08.20 Calit2/UCSD [http://greenlight.calit2.net] 13
Combined heat + fans
Realistic correlation
Heat Trends
Calit2/UCSD [http://greenlight.calit2.net] 14
Trends over past 24h
Heat exchangers
Hotspot identification
Past changes in airflow
Calit2/UCSD [http://greenlight.calit2.net] 15
Fan slicesrpm
Potential for failures
Trends over past 24h
Heat distribution
changes
Power spikes
Calit2/UCSD [http://greenlight.calit2.net] 16
1 minuteresolution
Unused asset
Average load
IT assets
Peak computation
Computation zone
Zoom-in Analysis
Calit2/UCSD [http://greenlight.calit2.net] 17
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.