John Chiappetta prezo on 5G EdgeComputing and IoT and how interdependent they are.
Held Nov 19, 2019 at Milton Education Village Innovation Centre, Milton, Ontario, Canada.
Learn more here: https://siliconhalton.com/event/meetup-119-what-is-5g-and-edge-computing/
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5G Edge Computing IoT Presentation
1. 5G, Edge, and IoT
Silicon Halton, November 19th, 2019
2. Chiappetta Consulting.IoT and Innovation Solutions
www.ChiappettaConsulting.com 2
John Chiappetta
Technology + Innovation
john@chiappettaconsulting.com
3. Chiappetta Consulting.IoT and Innovation Solutions
www.ChiappettaConsulting.com 3
Weâve Got You Covered
just like our products, we are always revising, testing, and evolving.
background.
Planning & Design
ImplementationCloud
Managed Services
Network Installations Operations
Internet of Things
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Agenda
IoT 5G
Edge
Computing
What comes
Next?
6. Chiappetta Consulting.IoT and Innovation Solutions
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$1.3T
Is projected to be the worldwide IoT market
spend in 2019
-Verizon
$2.88
$6.50
2013 2018
75.4B
IoT devices projected to dominate the market
by 2025
-IHS
250M
Vehicles will be connected to the internet by 2020
-Forbes
Canadian IoT
Market in Billions
Internet of Things (IoT) takes typical devices to the
next level by allowing connected devices to
automatically send information
- 8.4 billion connected devices in 2017
- +20 billion in 2020
7. Chiappetta Consulting.IoT and Innovation Solutions
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This is a conversation on 5G, Edge, IoT and the Public Cloud
⢠5th Generation Networks (5G) the Internet of Things (IoT), and Edge Computing are essential
infrastructure enablers for a range of new business and technology developments:
- Autonomous Vehicles
- Smart City Grids
- E-Health
- Automated Factories
- Mobile Content Streaming
- Data Analytics
⢠The end goal is ď Digital Transformation
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8. Chiappetta Consulting.IoT and Innovation Solutions
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This is a conversation on 5G, Edge, IoT and the Public Cloud
⢠The public cloud is great ⌠BUT
- Cloud computing costs can grow exponentially
- Vendor âlock-inâ is a risk
⢠10 yrs ago ď Security and migration pitfalls with public clouds
⢠Now ď Clouds are safer, more scalable and agile
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Example: Bridges
⢠Devices can track small movements and send alerts in real-time of potential structural capacity issues
without the need for a physical inspection
⢠Again, not only is the maintenance cost reduced but the risk of safety issues is significantly lessened
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Example: Flooding
⢠Take the issue of flooding due to built-up silt in drainage gullies
⢠Today, a city would pay a contractor once or twice a year to go out and empty the gullies ď this is
expensive and difficult to assess the quality of work done
⢠Connected devices have the potential to save significant sums while improving public safety
⢠A sensor placed in each drainage pot tracking the level of silt build-up allows cities to immediately
target gullies that need attention vs. having to wait for annual checks
⢠This saves money, helps mitigate the impact of flooding and allows the whole drainage estate
to be maintained in better conditions
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12. Chiappetta Consulting.IoT and Innovation Solutions
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Low Latency is Big Business
3G 4G LTE 5G % Change
Average Data Rate 1.5 Mb/s 25 Mb/s 3 Gb/s +12,000%
Peak Data Rate 7.2 Mb/s 150 Mb/s 10 Gb/s +6,667%
Latency 100 ms 50 ms 1 ms +5,000%
Connection Density <2000 users / km2 2,000 users / km2 100,000 users / km2 +5,000%
Frequency Up to 2.1 Up to 2.5 Up to 95 +3,800%
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14. Chiappetta Consulting.IoT and Innovation Solutions
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Questions
1. Why are 5th Generation Networks Important to IoT?
2. What technologies well be advanced via the use of 5G?
3. How will 5G impact the every day consumer (YOU)?
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15. Chiappetta Consulting.IoT and Innovation Solutions
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Delay
Bandwidth Throughput
1 ms
10 ms
1,000 ms
100 ms
<1 Mb/s >1 Gb/s1 Mb/s 10 Mb/s 100 Mb/s
Disaster Alert
Autonomous Vehicles
Real Time Gaming Multi-person
Calls
Augmented
Reality
Virtual Reality
First Responder
Connectivity
Wireless Cloud
Based Office
Personal Cloud
Video
Streaming
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16. Chiappetta Consulting.IoT and Innovation Solutions
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Low Latency is Big Business
⢠IoT technology backed by a 5G connection contributes to the bottom line
ď It will reduce costs and increase revenues
⢠The 5G IoT market will grow at more than 50% annually to $6.285 billion by 2025
- Currently just over the $600 million mark
⢠A European Green Paper on M-Health (remote health) estimated savings of 99 billion euros a year
- This equates to 7% of EU health spending
⢠PwC survey of 2000+ executives in 26 countries
- Potential annual digital revenue growth of 2.9%
- Revenue increases of more than 50% over 5 years
- Expect average cost savings of 3.5% a year â Equating to $493 billion a year for 5 years
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Why is this important?
⢠The problem is, for the average consumer, 5G isnât that thrilling
- We can accomplish almost everything we can imagine with 4G or even 3G connectivity
⢠BUT! For IoT â Without 5G and Edge Computing â Network problems will arise
- This means most technological advancements â industry will come first
⢠5G and Edge Computing are key enablers:
- For connecting 20 billion IoT devices
- In transferring and processing the huge volumes of data that will be generated
⢠That said, itâs not just about bandwidth
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Questions
1. What are some examples of Edge Computing devices?
2. Do you need 5G for Edge Computing to be successful?
3. How do you monetize this type of technology?
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21. Chiappetta Consulting.IoT and Innovation Solutions
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Primer on Edge Computing
⢠âThe Edge is anything that is close to the usersâ
- Think Apple TV or Alexa, or even servers across the street serving the area
⢠Edge computing brings cloud resources â compute, storage, and networking â closer to applications,
devices and users
⢠Keeping things as close to the user as possible relieves the strain on the public cloud
⢠iPhone security and privacy features are a good example of edge computing
- They host sensitive biometrics or encryption information on user devices rather than the cloud
- This is how Apple avoids responsibility for handling user security information
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AWS DeepLens
Primer on Edge Computing
⢠Integrates a 1080p camera with a Linux OS
⢠Software allows machine learning algorithms developed in AWS to be executed directly on the device
⢠Rather than waiting for the device to capture ď send to the cloud ď wait for a response ď then return the response
⢠The intelligence models execute directly on the device
⢠This provides a near-time set of intelligence tools that can be integrated into APIs
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Surface parking lots
and street parking
The Sensors
Precision â 25cm
Blocks
Updated every 3
seconds
Monitor all Zones
Loading zones, fire
hydrants, no
parking zones,
bicycle lanes, and
more
70-80%
In Lost Parking
Revenue
90%
Of Potential
Parking Revenue
Not Capitalized
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Sensor implementations cost less than 0.1% of
annual lost revenue and generates $200-650k per sensor.
30% of traffic is caused by drivers searching for parking.
The average driver will waste 20 minutes a day or 3 years
of their lifetime searching for a parking space.
Annual Revenue Potential Per Spot
Parking fee per hour - $1.75
3,722 hours (12h x 6 days per week)
$6,552 in revenue potential per space, per
year
Annual Revenue Potential Under Each
Sensor
10-30 spaces per sensor
$65,000 - $200,000 in parking
revenue potential per sensor, per year
Annual Revenue Potential at Scale
30-100 spaces per sensor
$200,000 - $650,000 in
parking revenue per sensor, per year
Lost Revenue
Currently, between 70-80% of
parking fees remain unpaid
New Revenue
Over 10 Years
Lost Revenue
Over 10 Years
1 2 3 4 5 6 7 8 9 10
26. Chiappetta Consulting.IoT and Innovation Solutions
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Questions
1. What are the main limiting factors of 4G LTE?
2. Are all IoT sensors Smart Sensors?
3. What verticals are most impacted by 5G connectivity?
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27. Chiappetta Consulting.IoT and Innovation Solutions
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IoT devices can be as dumb or as smart as you want to make them
⢠In a production plant
- Simple sensors might collect and store data and communicate via Wi-fi
⢠In other scenarios IoT sensor data may need to be collected in real-time and need better networks
⢠With current 4G technologies, bandwidth, latency and density requirements are all limiting factors
- This would require varied instances and prevent all devices to run at once
⢠The goal with 4G networks is attaining sub 50 millisecond communication
- Anything >30 milliseconds will have a negative impact on performance (lag)
- 5G could bring this to sub 20 milliseconds
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28. Chiappetta Consulting.IoT and Innovation Solutions
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Why the excitement about 5G connectivity? Speed.
⢠5G and Edge computing grant the ability to process transactions and store data near to the source of the
data
4G LTE 5G
Average Data Rate 25 Mb/s 3 Gb/s
Peak Data Rate 150 Mb/s 10 Gb/s
Latency 50 ms 1 ms
Connection Density 2,000 users / km2 100,000 users / km2
⢠5G provides
- Network Slicing
- The ability to run different requirements at the same time
- The ability to configure and re-configure standard hardware for different tasks
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29. Chiappetta Consulting.IoT and Innovation Solutions
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Where 5G will really make a differenceâŚ
⢠Different IoT solutions have different network requirements
⢠Autonomous Vehicles and Medical Equipment demand absolute reliability where low latency will be critical
- Edge computing is required to make the critical decision about stopping a self-driving car in time
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30. Chiappetta Consulting.IoT and Innovation Solutions
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How Edge Computing will
Scale 5G IoT
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Questions
1. How can Edge Computing and 5G IoT help rural communities?
2. If you compute at the device do you still need 5G speeds?
3. What will have a bigger impact in the end: Edge Computing or The Public Cloud?
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32. Chiappetta Consulting.IoT and Innovation Solutions
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How Edge Computing will Scale the Future
⢠Think: +20 billion devices in 2020
- Smart Phones
- Connected Wearables
- Vehicles
- Drones
⢠Suddenly, infrastructure will have to deal with a billion odd devices spread around 10,000 locations
⢠Itâs not just about citiesâŚ
⢠Edge computing can also be used to bring the next billion online with smaller, more efficient localized servers in
rural communities
⢠Over the next 10 years â Edge Computed is predicted to have ten times the impact of what the public cloud
has had over the last 10 years
- Why? Because it can handle double the scale with many more clients per second
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33. Chiappetta Consulting.IoT and Innovation Solutions
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How Edge Computing will Scale the Future
⢠Edge computing devices â especially IoT devices â depend on network access to the cloud to receive machine
learning and complex event processing models
⢠They also need access to send sensor and status data back to the cloud
⢠The number of wireless sensors will continue to grow geometrically
⢠There will be an increase in autonomous vehicles, smart homes, and numerous other high-bandwidth low-
latency instances
⢠To support these devices and connectivity:
⢠More bandwidth is needed
⢠Support for more devices on the network is needed
⢠Greater security to protect and manage the data is needed
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Funding Opportunities: OCE ENCQOR
Support and
Access to iPaaS
Demonstration
Projects
(Funded)
Talent Edge
(Funded)
Technology
Development
Projects
(Funded)
Ross Bradsen, Director - Business Development & Commercialization
Ross.Bradsen@oce-ontario.org or ENCQOR.CA