Utah Ignite Update Glen Ricart

Smart Gigabit Communities

Glenn Ricart

August 20, 2015

is a public-private partnership

Creating a connected ecosystemof innovative applications and services

In smart gigabit communities

For- Economic development- Civic resilience- Internet of Things and Smart Cities- Healthcare, education, public safety,

transportation, clean energy, and advanced manufacturing




For- Economic development- Civic resilience- Intenet of Things and Smart Cities- Healthcare, education, public safety,





For- Economic development- Civic resilience- Cyberleadership- Healthcare, education, public safety,

















Major Programs in

• NSF funding innovative applications ($10M/yr.)• National marketplace of

• Interconnected, interoperablesmart gigabit communities

• Mozilla Hive – education activities

• NIST Global City Team Challenge• New White House announcements coming in

September

Community Responsibilities (Smart Gigabit)

• Civic Organizing / Steering Committee

• Major local carriers / ISPs participate

• Local Interchange Point to keep local traffic local

• Local smart city “Brain” servers• Application / service development and

deployment• Public benefit applications receive attention• Coordinate with other cities in the national

marketplace

City / RegionIgnite Steering

Committee

Developers

Entrepreneurs

Mayor and economicdevelopment staff

Chamber ofCommerce

Academic Leaders

Tech businesses

Local foundations

Code for America

Mozilla Hives

Google Developer GroupLocal ISPs

Accelerator / Garage

Large tech companies

Faculty with NSF support

Faculty / Masters’ students / capstone projects Angels and VCs

Kauffman Tech Venture Code for America

Leaders of Mozilla Hives

Participation by major carriers / ISPsWired / wireless

Examples:• CenturyLink• Verizon• UETN• Skywire• T-Mobile• Comcast• Xmission• Google Fiber• Strata• All West• AT&T• Vivint …. Etc.

Local Interchange PointLocal Traffic Only

• Keep local traffic local• Gigabit end-to-end

within the city• Ultra low-latency for Internet of Things and

smart cities applications and services• Self-sufficient, resilient community

Glenn’s House to U. UtahC:\Users\Glenn>tracert www.utah.edu

Tracing route to www.utah.edu [155.97.137.55]over a maximum of 30 hops:

1 <1 ms <1 ms <1 ms 192.168.142.12 9 ms 9 ms 10 ms c-24-11-6-1.hsd1.ut.comcast.net [24.11.6.1]3 17 ms 16 ms 10 ms te-0-5-0-14-sur04.saltlakecity.ut.utah.comcast.net [162.151.39.77]4 16 ms 9 ms 8 ms he-0-8-0-1-ar01.sandy.ut.utah.comcast.net [162.151.49.145]5 25 ms 24 ms 35 ms be-33660-cr01.sunnyvale.ca.ibone.comcast.net [68.86.90.145]6 46 ms 26 ms 48 ms he-0-13-0-1-pe03.11greatoaks.ca.ibone.comcast.net [68.86.83.138]7 39 ms 52 ms 35 ms as7385-1-c.11greatoaks.ca.ibone.comcast.net [173.167.56.198]8 52 ms 55 ms 36 ms 209.63.82.2469 77 ms 46 ms 45 ms 209.210.68.68

10 77 ms 49 ms 50 ms ebc-p-b-171.uen.net [140.197.252.84]11 62 ms 60 ms 58 ms ebc-p-b-171.uen.net [140.197.252.84]12 50 ms 49 ms 49 ms 140.197.253.13913 77 ms 67 ms 49 ms 199.104.93.21014 * 77 ms 50 ms 199.104.93.19315 71 ms 49 ms 50 ms 155.99.130.5916 86 ms 50 ms 66 ms 155.99.130.10717 49 ms 61 ms 58 ms test.www.utah.edu [155.97.137.55]

Trace complete.

Smart City Brain ServersDynamically-allocated services

• Leverage GENI network (see next slide)

• Dynamically allocated apps and services

• Part of a Nationwide marketplace

• Will be replaced by commercial services• Programmable (Docker-compatible)• Sliceable

Sponsored by the National Science Foundation 16GEC22 – March 23, 2015 www.geni.net

GENI: Infrastructure for Experimentation

GENI provides compute resources that can be connected in experimenter specified Layer 2 topologies.

Infrastructure Goals

Design for Cyberphysical Systems (CPS) loopsUltra-ResponsiveUltra-ReliableProgrammable isolation and federationBillable

Enable big data acquisition and analysisDecision support systemsCompare results among consumers, cities, regions

Enable inter-city CPS and collaboration

Locavore Infrastructure for Smart Cities I4oTDesign Impact

Local gigabit(+) network

Ultra-responsiveEnough bandwidth to virtualize

Network virtualization

Programmable isolation and federationBind network, servers, & applicationsBillable

City / regionI4oT cloud(Smart City Brain)

Ultra-responsiveUltra-reliableData warehouse and analysisSmart city asset

PM2.5 Modeling

19Courtesy David Lary

Deep Brain StimulationTuningChris Butson, SCI InstituteU. Utah

CONFIDENTIAL ©2013 Cityzenith

DATA VISUALIZATION PLATFORM

MUNICIPAL GOVERNMENT DEPARTMENT

GHG STANDARDS NETWORK

SMART CITY PLATFORM PROVIDER

BUILDING ENERGY RETROFIT FINANCE

TRANSPORTATION EMISSIONS ANALYSIS

BUILDING ENERGY RETROFIT ANALYSIS

BUILDING ENERGY CHANGE MANAGEMENT

5D SMART

A 3D data visualization platform project mapping building energy usage and GHG emissions data to a 3D model of downtown San Francisco that will empower building owners with the

information and tools they need to make their buildings more energy efficient.

• The City of San Francisco expects to incur an estimated $62 billion in climate-related infrastructure damage by the middle of the 21st century.

• Buildings are responsible for 52% of the city's carbon emissions, a major cause of climate change.

• 75% of the city's largest 2,000 commercial buildings fall within the boundaries of the San Francisco 2030 District.

• Despite progressive green building codes, capital markets, real estate investors, property managers, commercial tenants, and even utilities lack comprehensive, granular data about the specific energy efficiency opportunities and solutions.

• 5D Smart San Francisco 2030 District will serve as a hub making necessary data and solutions easily available to building owners in the city in order to accelerate and expand investment in energy efficiency retrofits.

Airtemperaturehumiditylightcarbon monoxide (CO)nitrogen dioxide (NO2)vibrationvolatile organic compounds (VOCs)ozone (O3)carbon Dioxide (CO2)sulfur Oxidesparticulate Matter

Human activityambient soundinfrared camera (surface temp)count Bluetooth and WiFi

Weather (later)precipitationwind measurements

Airhealthiest and unhealthiest walking times and routesblock-by-block weather

Human activity- infrared cameras: sidewalk and street temperature

can guide salting responses- suggest safe and efficient routes for walking late at

night or for timing traffic lights during peak traffic hours.

SMART MOBILE OPERATION: OSU TRANSPORTATION HUB (SMOOTH)

Automating the First and the Last Miles

Automating the First and Last Miles

First Mile/Last Mile Solutions• On demand automated vehicles will move passengers the first

mile to the bus stop and the last mile from the bus stop (bottompicture).

• Scheduled or on demand vehicles will move passengers througha closed loop within OSU campus (through roads and pedestrianareas, top picture).

• The vehicles will:– use automated driving technology;– use V2V communication for convoy driving;– be equipped with vulnerable road user protection

technology enabling them to function in pedestrian zones.• SMOOTH will keep track of vehicles and guide them.• Smartphone applications will be developed to schedule and track

the on-demand automated vehicles.PARTNERS

Ohio State University - Center for Automotive ResearchCity of ColumbusMid-Ohio Regional Planning Commission (MORPC)Team ARIBO

Location: Columbus, Ohio

33

WiRoverMultiple Radios with Software Control

35

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Impact AreasSmart infrastructure

Education

Public safety / disaster /resilienceHealth

Wireless infrastructure

Smart transportation

Planning

E-access to services

Change behavior

Expected Results

City resiliency / managementBetter knowledge / choicesReduce resource impactImprove quality of life

Utah Ignite Update Glen Ricart

Technology