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

Calit2/UCSD [http://greenlight.calit2.net]

Monitoring, Modeling and Management

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


Control elements

Real-time heatmap

Realistic models

Airflow dynamics


Live fan speeds

Airflow dynamics

Heat distribution


Combined heat + fans

Realistic correlation

Heat Trends


Trends over past 24h

Heat exchangers

Hotspot identification

Past changes in airflow


Fan slicesrpm

Potential for failures

Trends over past 24h

Heat distribution

changes

Power spikes


1 minuteresolution

Unused asset

Average load

IT assets

Peak computation

Computation zone

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.

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

presentation for the 7th itu symposium on icts, the environment and climate change

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