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Building Worlds First “5G” Network Smartphones + Web services + Social networking + Mobile Handoff + Green Nodes   Bill St. Arnaud [email_address] Unless otherwise noted all material in this slide deck may be reproduced, modified or distributed without prior permission of the author
 
Global Average Temperature
2009 second warmest year ever
Jan, Feb Mar 2010 warmest ever This is despite a solar sun spot minimum
Climate Forecasts MIT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Climate Change is not reversible ,[object Object],[object Object],[object Object],All we hope to achieve is to slow down the rapid rate of climate change Weaver et al., GRL (2007)
Climate tipping points ,[object Object],[object Object],[object Object]
2009-10 Canada winter 4.2C warmer than average
Urgency of Action ,[object Object],[object Object],[object Object],[object Object],Nobel Laureate Paul Krugman http://www.nytimes.com/2010/04/11/magazine/11Economy-t.html?pagewanted=1
The Global ICT Carbon Footprint is Roughly the Same as the Aviation Industry Today www.smart2020.org But ICT Emissions are Growing at 6% Annually! ,[object Object],[object Object],[object Object]
The Global ICT Carbon Footprint  by Subsector www.smart2020.org The Number of PCs (Desktops and Laptops) Globally is Expected to Increase  from 592 Million in 2002  to More Than Four Billion in 2020  Data Centers  & Clouds Are Low Hanging Fruit Telecom & Internet fastest growing PCs Are Biggest Problem
IT biggest power draw Heating, Cooling and Ventilation 40-50% Lighting 11% IT  Equipment 30-40% Other 6% Sources: BOMA 2006, EIA 2006, AIA 2006 Energy Consumption Typical Building Energy Consumption World Wide Transportation 25% Manufacturing 25% Buildings 50%
Digital vs Traditional appliances
[object Object],[object Object],[object Object],[object Object],Growth Projections Data Centers & Clouds Source:  Gartner; Meeting the DC power and cooling challenge
The Falsehood of Energy Efficiency ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Zero Carbon strategy essential ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Get off the Grid!
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],GHG Regulation in British Columbia SOURCE:  “Greenhouse Gas Inventory Report 2007”, Ministry of Environment, Victoria, British Columbia, July 2009 Source: Jerry Sheehan UCSD
Carbon Costs for the  University of British Columbia SOURCE:  UBC Sustainability Office, August 2009 SOURCE:  http://climateaction.ubc.ca/category/emission-sources SOURCE:  UBC Climate Action Plan, GHG 2006 Inventory UBC Greenhouse Gas Liability 2010-2012 2010 2011 2012 Carbon Offset $1,602,750 $1,602,750 $1,602,750 Carbon Tax $1,179,940 $1,474,925 $1,769,910 Total $2,782,690 $3,077,675 $3,372,660
Zero Carbon Data Center source: Dan Gillard BCnet 04/09 BC’s Green Data Centre  MUST  be in Proximity to a Clean Source of Power
MIT to build zero carbon data center in Holyoke MA ,[object Object],[object Object],[object Object]
Proposed new funding scenario for R&E networks and cost reduction for universities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],New R&E network funding scenario “ Cap and Reward”
GreenStar –Clouds and Virtualization ,[object Object],[object Object],[object Object],http://www.greenstarnetwork.com/
GreenStar Network ,[object Object],[object Object],[object Object]
Economic benefits of follow the wind/sun architectures ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The NSF-Funded UCSD GreenLight Project:  Instrumenting the Energy Cost of Cluster Computing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Power Management in Mixed Use Buildings: The UCSD CSE Building is Energy Instrumented ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Source: Rajesh Gupta, CSE, Calit2
Evolving Internet & Impact on GHG ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Traditional Internet Backbone ISP1 Backbone ISP 3 Backbone ISP 2 IX IX Regional ISP Large Content Provider with multiple servers Small Content Provider  Last mile ISP Last mile ISP User’s Computer User’s Computer Thousands of miles Fiber Networks
Information Internet – zero carbon Backbone ISP1 Backbone ISP 3 Backbone ISP 2 IX IX Regional ISP Large Content Provider  Small Content Provider  Last mile ISP Last mile ISP User’s Computer User’s Computer Cloud CDN Content hosted in ACI  Nearby
New Internet ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Grand Challenge – Building robust ICT services using renewable energy only ,[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 router 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
Power Consumption of IP network Source: Rod Tucker
Challenge of efficiency Source: Rod Tucker
Mobile data traffic growth
Some info ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Building a “5G” wireless network ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Possible Architectures
Impact of 5G networks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Source: Tim OReilly
WiFi leadership ,[object Object],[object Object]
Sensors using social tools ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Open source sensors Source: Tim OReilly
Open Source Hardware Source: Tim OReilly
Sensors + Cloud Source: Tim OReilly
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% - 20% impact
Case Western pilot with Kindle DX ,[object Object],[object Object],[object Object],[object Object],[object Object]
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]
Final remarks ,[object Object],[object Object],[object Object],[object Object],[object Object]
Cyber-infrastructure in a Carbon Constrained World http://net.educause.edu/ir/library/pdf/ERM0960.pdf
Let’s Keep The Conversation Going Blogspot Bill St. Arnaud http://green-broadband.blogspot.com Twitter http://twitter.com/BillStArnaud E-mail list [email_address]
Background Slides
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
Earth’s Climate is Rapidly Entering a Novel Realm Not Experienced for Millions of Years ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Virtualization is key ,[object Object],[object Object],[object Object],[object Object],[object Object],MIT’s Sixth sense
Zero Carbon Data Centers Hydro-electric powered data centers Data Islandia Digital Data Archive ASIO solar powered data centers Wind powered data centers Ecotricity in UK builds windmills at data center locations with no capital cost to user
Emerging “Follow the Sun” Technologies ,[object Object],[object Object],[object Object],Nortel’s research labs developed and conceived the “Virtual Machine Turntable in 2006 and through collaboration with R&E networks in the US, Canada, Netherlands, and South Korea proved viability.
[object Object],[object Object],[object Object],[object Object]

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Ottawa U - Deploying 5G networks

  • 1. Building Worlds First “5G” Network Smartphones + Web services + Social networking + Mobile Handoff + Green Nodes   Bill St. Arnaud [email_address] Unless otherwise noted all material in this slide deck may be reproduced, modified or distributed without prior permission of the author
  • 2.  
  • 5. Jan, Feb Mar 2010 warmest ever This is despite a solar sun spot minimum
  • 6.
  • 7.
  • 8.
  • 9. 2009-10 Canada winter 4.2C warmer than average
  • 10.
  • 11.
  • 12. The Global ICT Carbon Footprint by Subsector www.smart2020.org The Number of PCs (Desktops and Laptops) Globally is Expected to Increase from 592 Million in 2002 to More Than Four Billion in 2020 Data Centers & Clouds Are Low Hanging Fruit Telecom & Internet fastest growing PCs Are Biggest Problem
  • 13. IT biggest power draw Heating, Cooling and Ventilation 40-50% Lighting 11% IT Equipment 30-40% Other 6% Sources: BOMA 2006, EIA 2006, AIA 2006 Energy Consumption Typical Building Energy Consumption World Wide Transportation 25% Manufacturing 25% Buildings 50%
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 20. Carbon Costs for the University of British Columbia SOURCE: UBC Sustainability Office, August 2009 SOURCE: http://climateaction.ubc.ca/category/emission-sources SOURCE: UBC Climate Action Plan, GHG 2006 Inventory UBC Greenhouse Gas Liability 2010-2012 2010 2011 2012 Carbon Offset $1,602,750 $1,602,750 $1,602,750 Carbon Tax $1,179,940 $1,474,925 $1,769,910 Total $2,782,690 $3,077,675 $3,372,660
  • 21. Zero Carbon Data Center source: Dan Gillard BCnet 04/09 BC’s Green Data Centre MUST be in Proximity to a Clean Source of Power
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31. Traditional Internet Backbone ISP1 Backbone ISP 3 Backbone ISP 2 IX IX Regional ISP Large Content Provider with multiple servers Small Content Provider Last mile ISP Last mile ISP User’s Computer User’s Computer Thousands of miles Fiber Networks
  • 32. Information Internet – zero carbon Backbone ISP1 Backbone ISP 3 Backbone ISP 2 IX IX Regional ISP Large Content Provider Small Content Provider Last mile ISP Last mile ISP User’s Computer User’s Computer Cloud CDN Content hosted in ACI Nearby
  • 33.
  • 34.
  • 35. 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
  • 36. GENI with router 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
  • 37. Power Consumption of IP network Source: Rod Tucker
  • 38. Challenge of efficiency Source: Rod Tucker
  • 40.
  • 41.
  • 43.
  • 44.
  • 45.
  • 46. Open source sensors Source: Tim OReilly
  • 47. Open Source Hardware Source: Tim OReilly
  • 48. Sensors + Cloud Source: Tim OReilly
  • 49. 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% - 20% impact
  • 50.
  • 51.
  • 52.
  • 53.
  • 54. Cyber-infrastructure in a Carbon Constrained World http://net.educause.edu/ir/library/pdf/ERM0960.pdf
  • 55. Let’s Keep The Conversation Going Blogspot Bill St. Arnaud http://green-broadband.blogspot.com Twitter http://twitter.com/BillStArnaud E-mail list [email_address]
  • 57. 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
  • 58.
  • 59.
  • 60. Zero Carbon Data Centers Hydro-electric powered data centers Data Islandia Digital Data Archive ASIO solar powered data centers Wind powered data centers Ecotricity in UK builds windmills at data center locations with no capital cost to user
  • 61.
  • 62.

Editor's Notes

  1. USGS report finds that future climate shifts have been underestimated and warns of debilitating abrupt shift in climate that would be devastating. http://www.climatescience.gov/Library/sap/sap3-4/final-report/default.htm http://climateprogress.org/2008/11/24/what-are-the-near-term-climate-pearl-harbors/ Tipping elements in the Earth's climate - National Academies of Science “ Society may be lulled into a false sense of security by smooth projections of global change. Our synthesis of present knowledge suggests that a variety of tipping elements could reach their critical point within this century under anthropogenic climate change. “ http://www.pnas.org/content/105/6/1786.abstract?maxtoshow=&HITS=10&hits=10&RESULTFORMAT=&fulltext=tipping+elements+lenton&searchid=1&FIRSTINDEX=0&resourcetype=HWCIT Arctic Climate Change may be at tipping point – Globe and Mail -Sept 2009 We thought by 2050, multi-year [sea] ice would be cut in half,” said Mr. Stewart from Ottawa. “Well, it happened in 2007.” http://www.theglobeandmail.com/news/technology/science/arctic-climate-change-at-tipping-point/article1272939/ http://www.panda.org/wwf_news/news/?uNewsID=173262
  2. Future projections from Gartner
  3. Building a zero carbon ICT infrastructure Purchasing green power locally is expensive with significant transmission line losses Demand for green power within cities expected to grow dramatically ICT facilities DON’T NEED TO BE LOCATED IN CITIES -Cooling also a major problem in cities But most renewable energy sites are very remote and impractical to connect to electrical grid. Can be easily reached by an optical network Provide independence from electrical utility and high costs in wheeling power Savings in transmission line losses (up to 15%) alone, plus carbon offsets can pay for moving ICT facilities to renewable energy site ICT is only industry ideally suited to relocate to renewable energy sites Also ideal for business continuity in event of climate catastrophe
  4. Each element (component) shown is a sophisticated network router or computer system. A given experiment will be allocated a portion of each of a subset of these elements and of the links connecting these elements. This partition of physical resources is called a slice. Software to be developed will allow a large number of experiments to simultaneously run, each in its own slice, without interfering with other experiments. Virtualization refers to the ability of experiments to behave as if they are not sharing the same physical elements or links.   The facility is  programmable in the sense that software for a slice can be downloaded from a researcher workstation to elements on which the slice resides using tools provided by GENI. In addition, a researcher can define a slice and request its allocation for an experiment from a local workstation.   In effect, experimenters will operate as if they are using a new internet based on their own innovations.
  5. Each element (component) shown is a sophisticated network router or computer system. A given experiment will be allocated a portion of each of a subset of these elements and of the links connecting these elements. This partition of physical resources is called a slice. Software to be developed will allow a large number of experiments to simultaneously run, each in its own slice, without interfering with other experiments. Virtualization refers to the ability of experiments to behave as if they are not sharing the same physical elements or links.   The facility is  programmable in the sense that software for a slice can be downloaded from a researcher workstation to elements on which the slice resides using tools provided by GENI. In addition, a researcher can define a slice and request its allocation for an experiment from a local workstation.   In effect, experimenters will operate as if they are using a new internet based on their own innovations.