Edge IoT is a technology Witekio believes in. It is now reaching an inflexion point. The need for responsiveness, local computing capacity (especially for data crunching, AI and machine learning), security, IoT bandwidth makes this«trend » relevant to face B2B and industrial challenges.

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EDGE IOT : FUTURE
OF IOT ?

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WITEKIO, GLOBAL PROFESSIONAL SERVICES
120 people all around the world providing consultancy, architecture and dev for embedded/IoT
systems

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1. YOU ARE SO HYPE
2. CLOUD IOT LIMITATIONS
3. WHAT IS EDGE IOT ?
4. GOOD FIT FOR IIOT
5. EDGE USE CASES
6. POSSIBLE SOLUTIONS FOR IMPLEMENTATION
AGENDA

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YOU ARE SO HYPE

5. CLOUD IOT
LIMITATIONS : SMART
CITY EXAMPLE

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MILLIONS OF NODES
Smart Factory
Smart Building
Smart City
Number
of Sensors
Size of Infrastructure

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LEGACY NETWORKS
• X.25 (Low Speed)
• GPRS (Low Speed)
• Ethernet (High Speed)

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WHAT IOT REALLY MEANS
• Bandwidth
• Real-time processing
• Machine learning
Smart traffic light
• Number of street lights: ~250,000
• Number of traffic signals: ~50,000
10 kB/s per sensor = 30 GB/s

9. EDGE COMPUTING ?

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VALUE OF DATA IN TIME
VALUE
TIME
ACT/
REACT UNDERSTAND/PLAN

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CLOUD / FOG / EDGE
SOURCESSUPINFO

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AN INFINITE
CYCLE

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o REAL TIME CONSTRAINT
o INTERMITTENT NETWORK
o NEED FOR LOCAL PROCESSING
o BANDWITH CONSTRAINT
o MAKING BIG DATA SMALLER
o STRONG CYBER-SECURITY CONSTRAINT
WHEN EDGE CAN BE THE SOLUTION

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o DEVICE MANAGEMENT LIFECYCLE
o SOFTWARE ABSTRACTION THANKS TO INTELLIGENT
AGENTS
o HUGE COMPUTING CAPABILITIES THANKS TO
DISTRIBUTED ARCHITECTURE + CLOUD
ON-PREMISE VERSUS EDGE

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o ADDITIONAL DIRECT COST / DEVICE
o HW FOOTPRINT OF AGENTS
o MORE SOFTWARE = MORE BUGS
DOWNSIDE OF EDGE

17. IIOT : THE RIGHT FIT FOR
EDGE

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BIG DATA ? NOT EVEN THE BEGINNING
80GO / DAY 500GO / FLIGHT

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TIMING IS KEY
HTTP DELAY = 1s
1s = 30 ROTATION

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EMBEDDED DEVICES BECOMING SUPERPOWERFUL
=

21. SOME USE CASES

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CAR IS A SUPER COMPUTER
Business case
• Device plugged to the CAN and ODB buses
• Live Capture of all electric signals from the car
• Use of exogenous data (weather, driver’s behaviors…)
Objective
• Predict a battery failure live (while driving)
• Organize maintenance operations directly with the garage
• Then expand the business case to other possible failures
Result
• Live prediction of battery failure
• Automatic alert to be transmitted to the garage, then SMS
sent to the driveR

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TOO MUCH GIGABITES
Business case
• Smarthome secutiy camera recording 24h/24
• Data volume = 42Go/day after H.264 compression
Objective
• Reduce bandwith impact
• Clean/sample data for cloud
• Do not loose any incident data
• Alert even without Internet
Result
• Reduced to 10Go/day max
• More definition when movement.
• SMS alert always available

24. CHOOSING THE RIGHT SOLUTION

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PLENTY OF OPTIONS

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EXTENSIVE PROTOCOL SUPPORT FOR DATA
INGESTION

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ROBUST CAPABILITY FOR OFFLINE FUNCTIONALITY

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CLOUD-BASED ORCHESTRATION TO SUPPORT
DEVICE LIFECYCLE MANAGEMENT

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HARDWARE-AGNOSTIC SCALABLE ARCHITECTURE

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COMPREHENSIVE ANALYTICS AND VISUALIZATION
TOOLS

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o EDGE IS AN EVOLUTION OF IOT
o NOT A PANACEA, BUT VERY GOOD FIT WHENEVER LOCAL ACTIONS ARE
REQUIRED
o GOOD OPPORTUNITY TO KEEP DATA LOCALLY
o NEED SYSTEM APPRAOCH TO DESIGN THE RIGTH SOLUTION
SYNTESIS

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CALL US !
SYSTEM CONSULTING
TECH BENCHMARK
GLOBAL DESIGN
CUSTOMIZATION
INTEGRATION
OPTIMIZATION

33. © 2 0 1 6 W it e k io & S u b s id ia r ie s . A ll R ig h t s R e s e r v e d .
T h is d o c u m e n t a n d t h e in fo r m a t io n it c o n t a in s is c o n fid e n t ia l a n d r e m a in s t h e p r o p e r t y o f o u r c o m p a n y . It m a y n o t b e c o p ie d o r c o m m u n ic a t e d t o a t h ir d p a r t y o r u s e d fo r a n y p u r p o s e o t h e r t h a n t h a t fo r w h ic h it is s u p p lie d w it h o u t t h e p r io r w r it t e n c o n s e n t o f o u r c o m p a n y .
Thank you
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