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Optical Networks and Climate Change Bill St. Arnaud CANARIE Inc – www.canarie.ca [email_address] Unless otherwise noted all material in this slide deck may be reproduced, modified or distributed without prior permission of the author
The Climate Change Threat ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Climate Forecasts MIT
The Planet is Already Committed  to a Dangerous Level of Warming V. Ramanathan and Y. Feng, Scripps Institution of Oceanography, UCSD September 23, 2008 www.pnas.orgcgidoi10.1073pnas.0803838105 Source:  Larry Smarr CAL-It2 Temperature Threshold Range  that Initiates the Climate-Tipping Additional Warming over 1750 Level 90% of the Additional 1.6 Degree Warming Will Occur in the 21 st  Century
Our Challenge 5 j j 26  tons/person 1  ton/person 2008 2050 ? j 2100 2  tons/person Source: Stern 2008
First we must clean up our own act ,[object Object],[object Object],[object Object],[object Object],[object Object],13
Growth Projections ,[object Object],[object Object],[object Object],[object Object],Source:  Gartner; Meeting the DC power and cooling challenge *Sourcce:  http://www.nanog.org/mtg-0802/levy.html
IT biggest power draw Heating, Cooling and Ventilation 58% Lighting 11% IT  Equipment 25% Other 6% Sources: BOMA 2006, EIA 2006, AIA 2006 Energy Consumption Typical Building Energy Consumption World Wide Transportation 25% Manufacturing 25% Buildings 50%
ICT and Internet is critical to reducing CO2 ,[object Object],[object Object],[object Object],11
ICT’s Enabling Effect is  Significant  ,[object Object],[object Object],[object Object],[object Object],[object Object],Source:  SMART 2020: Enabling the low carbon economy in the information age, 2008 12
Why is this important? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],21
The Carbon Economy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Source: ClimateCheck 20
The Falsehood of Energy Efficiency ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],14
Zero Carbon strategy essential ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],15
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],“ Zero Carbon” Computing and data centers 16
Optical networks, SOA and Virtualization are key ,[object Object],[object Object],[object Object]
Many examples Hydro-electric powered data centers Data Islandia Digital Data Archive ASIO solar powered data centers Wind powered data centers 17 Ecotricity in UK builds windmills at data center locations with no capital cost to user
Relocation of Nordic HPC facilities to Iceland
CANARIE Green-IT Pilot ,[object Object],[object Object],[object Object],[object Object],[object Object],25
Renewable power is not reliable ,[object Object],[object Object],[object Object],[object Object],[object Object],26
Vertical Windmills for networks MAGENN AIR ROTOR SYSTEM (M.A.R.S.) Windports Verticainc
PROMPT – Next Generation Internet to Reduce Global Warming ,[object Object],[object Object],Sources: GENI and Inocybe 27
[object Object],[object Object],Innovative Research funding model
Strong Interest worldwide ,[object Object],[object Object]
Possible research areas ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
GENI  Topology optimized by source destination  Source:  Peter Freeman NSF Wind Power Substrate Router Solar Power Wireless Base Station Sensor Network Thin Client Edge Site Mobile Wireless Network
GENI with remote nodes at renewable energy sites Sensor Network Thin Client Edge Site Source:  Peter Freeman NSF Wind Power Substrate Router Solar Power Wireless Base Station Topology optimized by availability of energy Mobile Wireless Network
The “VM Turntable” Demonstrator seamless remote  rendering Korea Chicago Calgary VMs Dynamic Lightpaths Starlight CA*net4 KREOnet APEC TEL 33, Calgary, AL, Apr 24-27 2006 Live VMs migrated from Calgary to Chicago with transit through S. Korea, resulting in just a 1.011 second of application downtime . DRAC sets up and tears down a lightpath w/ each migration.
In the Blink of an Eye ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],downtime
Policy approaches to reducing CO2 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],28
Carbon Rewards rather carbon taxes – “gCommerce” ,[object Object],[object Object],[object Object],[object Object],[object Object],29
Virtualization and De-materialization Source: European Commission Joint Research Centre, “The Future Impact of ICTs on Environmental Sustainability”, August 2004 Direct replacement of physical goods – 10% impact
Virtualization is key ,[object Object],[object Object],[object Object],[object Object],MIT’s Sixth sense
Case Western pilot with Kindle DX ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Other sectors (40%)  (e.g. manufacturing, coal mining, export transport) Emissions under direct consumer control (35%) Consumer influenced sectors (25%) (e.g. retail, food and drink, wholesale, agriculture, public sector) Heating Private cars Electricity Other transport Consumers control or influence 60 per cent of emissions http://www.cbi.org.uk/pdf/climatereport2007full.pdf 30
Free Wifi on Buses ,[object Object],[object Object],[object Object],[object Object],[object Object],32
Carbon Reward Strategy for last mile infrastructure ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],33
Final remarks ,[object Object],[object Object],[object Object]
Thank you ,[object Object],[object Object],[object Object],33

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Boston Optical Fiber East May 10

  • 1. Optical Networks and Climate Change Bill St. Arnaud CANARIE Inc – www.canarie.ca [email_address] Unless otherwise noted all material in this slide deck may be reproduced, modified or distributed without prior permission of the author
  • 2.
  • 4. The Planet is Already Committed to a Dangerous Level of Warming V. Ramanathan and Y. Feng, Scripps Institution of Oceanography, UCSD September 23, 2008 www.pnas.orgcgidoi10.1073pnas.0803838105 Source: Larry Smarr CAL-It2 Temperature Threshold Range that Initiates the Climate-Tipping Additional Warming over 1750 Level 90% of the Additional 1.6 Degree Warming Will Occur in the 21 st Century
  • 5. Our Challenge 5 j j 26 tons/person 1 ton/person 2008 2050 ? j 2100 2 tons/person Source: Stern 2008
  • 6.
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  • 8. IT biggest power draw Heating, Cooling and Ventilation 58% Lighting 11% IT Equipment 25% Other 6% Sources: BOMA 2006, EIA 2006, AIA 2006 Energy Consumption Typical Building Energy Consumption World Wide Transportation 25% Manufacturing 25% Buildings 50%
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  • 17. Many examples Hydro-electric powered data centers Data Islandia Digital Data Archive ASIO solar powered data centers Wind powered data centers 17 Ecotricity in UK builds windmills at data center locations with no capital cost to user
  • 18. Relocation of Nordic HPC facilities to Iceland
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  • 21. Vertical Windmills for networks MAGENN AIR ROTOR SYSTEM (M.A.R.S.) Windports Verticainc
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  • 26. GENI Topology optimized by source destination Source: Peter Freeman NSF Wind Power Substrate Router Solar Power Wireless Base Station Sensor Network Thin Client Edge Site Mobile Wireless Network
  • 27. GENI with remote nodes at renewable energy sites Sensor Network Thin Client Edge Site Source: Peter Freeman NSF Wind Power Substrate Router Solar Power Wireless Base Station Topology optimized by availability of energy Mobile Wireless Network
  • 28. The “VM Turntable” Demonstrator seamless remote rendering Korea Chicago Calgary VMs Dynamic Lightpaths Starlight CA*net4 KREOnet APEC TEL 33, Calgary, AL, Apr 24-27 2006 Live VMs migrated from Calgary to Chicago with transit through S. Korea, resulting in just a 1.011 second of application downtime . DRAC sets up and tears down a lightpath w/ each migration.
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  • 32. Virtualization and De-materialization Source: European Commission Joint Research Centre, “The Future Impact of ICTs on Environmental Sustainability”, August 2004 Direct replacement of physical goods – 10% impact
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  • 35. Other sectors (40%) (e.g. manufacturing, coal mining, export transport) Emissions under direct consumer control (35%) Consumer influenced sectors (25%) (e.g. retail, food and drink, wholesale, agriculture, public sector) Heating Private cars Electricity Other transport Consumers control or influence 60 per cent of emissions http://www.cbi.org.uk/pdf/climatereport2007full.pdf 30
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