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Industrial IoT and the emergence of Edge Computing
Navigating the Technological Pendulum
Roberto Siagri
CEO
Eurotech SpA
DNV-2018
Eurotech Overview
1992
Company’s Foundation
First Products Based on
PC/104
1993
1995
First Producer worldwide on the
PC/104 market module based
on Intel 32-bit 486DX processor
Listed in the Milan stock
Market STAR segment
2005
2008
Launch of innovative
Catalyst Module based on
Intel Atom processor
2010
Announcement of Aurora Au-
5600 “green” Supercomputer
with liquid cooling
VDC Research Group
Platinum Award for
Embedded Board Vendor
2009
Launch of the
Gateway Family
2015
• Behind the products of more than 20 Global 500 companies
• One of the world top player in the Embedded Computers market
• 25 Years of experience in embedded, IoT and distributed systems:
– Embedded computing & communication solutions – standard, custom, COTS
– High Performance Embedded Computer boards & sub-systems
– Low power and ultra-low power embedded computer boards and sub-systems
• Strong vertical market competences
JAPAN
ITALYFRANCE
USA UK
Marketing and Sales
Development & Engineering
Production
Global Footprint
EUROTECH VISION
"The Computer for the 21st Century",
Scientific American, Vol. 265 No.9, pp. 66-75, ‘91
Mark Weiser
Chief Technologist, Xerox PARC
Computers will be increasingly
miniaturised and interconnected
“The most profound technologies
are those that disappear. They
weave themselves into the fabric
of everyday life until they are
indistinguishable from it.”
4
SERVER CLIENT
CLOUD
EDGE node
IoT Gateway
SaaS
PaaS
IaaS
Navigating the Technological Pendulum
6
40 years of Moore’s law
… and it is not the end of a generalized Moore’s law
Nielsen’s Law of bandwidth
high-end user's connection speed grows by 50% per year
Reducing Complexity and CostsCost
Time
HW
SW
8
Wirth’s law: Software gets slower faster than hardware gets faster
Moore's law : Number of transistors doubles approx. every 18 months
HW
SW
Complexity
Costs
The Pervasive Computer
Internet of Things applications everywhere…
9
Software Defined Machines
Mechanics
Source adapted from “Software gibt den Takt vor”, C. Kühnl in Mechatronic & Fertigung”, 2010
SW
Electronics
System
Thinking
Software
Mechanics
Services
Mobile
Comms
Electronics
System
Thinking
Combinatorial Innovation
In the 1800s, it was interchangeable parts.
In the 1920s, it was electronic tubes.
In the 1970s, it was integrated circuits.
In the 1990s, it was the VLSI functions.
In the 2010s, it was the SW components.
Companies in every industry need to assume that a software
revolution is coming… Marc Andreessen
Products Dematerialization
& Value Chains Deconstruction
UniPD--
2016
Data Deluge
13
EXABYTE
1.000 Exabyte = 1 Zettabyte
1 Zettabyte ~ 250 Billion DVD (36 Million-years HD
Video)
Every 2 days
we create as much
information as we
did from the
beginning of time
until 2003.
Source
Over 90% of all
the structured
data in the world
was created in the
past 2 years.
Source
The total amount
of data being
captured and stored
by industry doubles
every 1.2 years.
Source
14
A jet engines produce 10 TB of operational
information every 30 min.
A 4 engine jumbo jet create 640 TB of data
on 1 Atlantic crossing,
There are more than 25,000 flights flown
each day: 640TB x 25.000 = 16 EB
Almost all of this data are lost
on completion of the flight
Industrial IoT and the emergence of Edge Computing Navigating the Technological Pendulum
“If you went to bed last night as an
industrial company, you’re going to wake
up this morning as a software and
analytics company.”
Data are the new raw material:
the core of the 4^ Industrial Revolution
new source of innovation & lever to achieve business sustainability.
?Jeff Immelt - GE CEO
Machine-generated data not always reach the cloud
physics, economics, privacy
0 1 0 11 00
1 0 1 0 11 1 0 11
1 1 1 000 10 11 1
0 1 0 1 1 0 1 1 1 0 0 0 0 1
1 0 1 1 1 0 11 1 0 11
1 0 1 0 1 0 1 0
1 0 1 0 11 1
0000 1
1 0 1 1 0 11
0 1 0 11 00 1 0 11
0
0 1 0 11 00
1 0 1 0 11 1 0 11
1 1 1 000 10 11 1
0 1 0 1 1 0 1 1 1 0 0 0 0 1
1 0 1 1 1 0 11 1 0 11
1 0 1 0 1 0 1 0
1 0 1 0 11 1
0000 1
1 0 1 1 0 11
0 1 0 11 00 1 0 11
0
High Perfomance Embedded PC
Edge Computing at a glance
Images are just for reference, final image depends on the configuration
Main Specification
Power (nominal) 325W
Power (peaks) 390W
Power source 9-18Vdc (12Vdc nominal)
Dimensions (HxWxD) 157mm x 162mm x 455mm
Weight Approximately 15Kg
up to 80 Teraflops/sec
A Foundation for Industrial IoT
• Seamlessly connect and manage disparate devices
• Integrate and transform data reliably and securely
• Connect operational technology (OT) to enterprise information technology (IT)
• Store and manage data end to end
• Act on analyzed data end to end
SISSA
MCA 2013
Addressing the increase in Software Complexity
Performance/Productivity
Complexity and Size
Assembly
Limited codes reuse
Difficult to program
OS
Easy PC Programming
Backward compatible
Containers
Virtualization
Software defined
Hyperconverged
State of the Art Security
20
Data Analytics, Predictive Tools
Enterprise-Class IoT Architecture & Stack
Industrial IoT = Distributed Data Center
Multi-service Gateway
IoT Integration Platform
Everyware IoT
IoT Gateway
IoT Cloud Platform
Business Applications
• Connectivity / Message Routing
• Device Registry and Management
• Data Management and Storage
• Event Management
• Application Enablement
• Communications/messaging
• Data pre-processing
• Real-time data analytics
• Real-time actions/rules
• Application Container
• Remote management
• Communications/messaging
• Data acquisition
The Internet of Things
Putting Things in Perspective (Industry 4.0 IT View)
Application Integration
IoT / M2M
Integration
Platform
Device HW
IIoT
Process Handling
Data Management
Other
Applications
Data
Warehousing /
Big Data
IT
Infrastructure
Management
& Services
Manufacturing
Execution
System
(MES)
Warehouse
Management
System
(WMS)
Enterprise
Resource
Planning
(ERP)
Customer
Relationship
Management
(CRM)
Core
IT
Infrastructure
The Data Lake: the dawn of Industry 4.0
Mobile App Web App 3rd party back-end
integration
Process ControlERP, EMS
IIoT is instrumental to the generation of the Data Lake
Operational advantages of
Industrial IoT
-savings on scheduled repairs ~12%
-reduced maintenance costs ~30%
-fewer breakdowns ~70%
Fundamental Business Model Shift
products
evolve to
integrated «bundles»
of services
is happening in almost all industries on a global scale
Servitization
DATA
IOT
Sensors
SERVICES
platform
M2M
monitoring
management
REMOTE
Preventive Maintenance
many-to-one
machines
actuators
HMI
nearreal-time
MQTT
PROTOCOLS
field
bus
gateway
MULTI SERVICE
REST unattended
OT
IT/OT INTEGRATION
iPaaS
IaaS
BIG
DATA
ANALYTICS
business intelligence
IT
CEP
CLOUD
on-premise
database
ESB
SaaS
MOBILE
APPLICATION
INTERNET
virtualization
IaaS
IP
open source
CONTEXT
BusinessModels
ASSET
cellular
wireless
satellite
BUSINESS
services
servitization
CUSTOMER
PARTNER
OEMs
ORGANIZATIONS
PRODUCT
VALUE
support
INFRASTRUCTURE
outsourcing
new
business models
everything as a service
DaaS
iPaaS
TCO
FLEXIBILITY
Biennale
Innovazione
2017
New Business model relay on Data
DataThings/Devices Business Models
Digital
Twin
o SERVITIZATION
o GAMIFICATION
o PROSUMERIZATION
Industry 4.0 is:
Digitization and Time by ‘slices’
- IoT = Digitization
- Digitization = Outcome / Time of Use
Examples
Industry 4.0 and Retrofit
INDUSTRIAL
IOT GATEWAY
IOT CLOUD
PLATFORM
REMOTE
MAINTENANCE
AND SUPPORT
ON-SITE
DATA ANALYTICS
IOT ON-SITE
PLATFORM
Remote/Predictive Maintenance
INDUSTRIAL
IOT GATEWAY
IOT APPLICATION
IOT PLATFORM
NURSE
APPLICATION
REMOTE
MAINTENANCE
AND SUPPORT
DATA ANALYTICS
Connected Products
IOT APPLICATION
IOT PLATFORM
CONSUMER
SERVICE CENTER
Re-Thinking
• Products
• Value Add
• Business Model
• Business Processes
33
www.eurotech.com
Thank You!
Imagine. Build. Succeed.
Loosley Coupled
Layered
Conteinerized
Microservice
Oriente
Architecture
- OPEN SOURCE
- INDUSTRY STANDARD
- JAVA
35

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Industrial IoT and the emergence of Edge Computing Navigating the Technological Pendulum

  • 1. Industrial IoT and the emergence of Edge Computing Navigating the Technological Pendulum Roberto Siagri CEO Eurotech SpA DNV-2018
  • 2. Eurotech Overview 1992 Company’s Foundation First Products Based on PC/104 1993 1995 First Producer worldwide on the PC/104 market module based on Intel 32-bit 486DX processor Listed in the Milan stock Market STAR segment 2005 2008 Launch of innovative Catalyst Module based on Intel Atom processor 2010 Announcement of Aurora Au- 5600 “green” Supercomputer with liquid cooling VDC Research Group Platinum Award for Embedded Board Vendor 2009 Launch of the Gateway Family 2015 • Behind the products of more than 20 Global 500 companies • One of the world top player in the Embedded Computers market • 25 Years of experience in embedded, IoT and distributed systems: – Embedded computing & communication solutions – standard, custom, COTS – High Performance Embedded Computer boards & sub-systems – Low power and ultra-low power embedded computer boards and sub-systems • Strong vertical market competences
  • 3. JAPAN ITALYFRANCE USA UK Marketing and Sales Development & Engineering Production Global Footprint
  • 4. EUROTECH VISION "The Computer for the 21st Century", Scientific American, Vol. 265 No.9, pp. 66-75, ‘91 Mark Weiser Chief Technologist, Xerox PARC Computers will be increasingly miniaturised and interconnected “The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it.” 4
  • 5. SERVER CLIENT CLOUD EDGE node IoT Gateway SaaS PaaS IaaS Navigating the Technological Pendulum
  • 6. 6 40 years of Moore’s law … and it is not the end of a generalized Moore’s law
  • 7. Nielsen’s Law of bandwidth high-end user's connection speed grows by 50% per year
  • 8. Reducing Complexity and CostsCost Time HW SW 8 Wirth’s law: Software gets slower faster than hardware gets faster Moore's law : Number of transistors doubles approx. every 18 months HW SW Complexity Costs
  • 9. The Pervasive Computer Internet of Things applications everywhere… 9
  • 10. Software Defined Machines Mechanics Source adapted from “Software gibt den Takt vor”, C. Kühnl in Mechatronic & Fertigung”, 2010 SW Electronics System Thinking Software Mechanics Services Mobile Comms Electronics System Thinking
  • 11. Combinatorial Innovation In the 1800s, it was interchangeable parts. In the 1920s, it was electronic tubes. In the 1970s, it was integrated circuits. In the 1990s, it was the VLSI functions. In the 2010s, it was the SW components.
  • 12. Companies in every industry need to assume that a software revolution is coming… Marc Andreessen Products Dematerialization & Value Chains Deconstruction
  • 13. UniPD-- 2016 Data Deluge 13 EXABYTE 1.000 Exabyte = 1 Zettabyte 1 Zettabyte ~ 250 Billion DVD (36 Million-years HD Video) Every 2 days we create as much information as we did from the beginning of time until 2003. Source Over 90% of all the structured data in the world was created in the past 2 years. Source The total amount of data being captured and stored by industry doubles every 1.2 years. Source
  • 14. 14 A jet engines produce 10 TB of operational information every 30 min. A 4 engine jumbo jet create 640 TB of data on 1 Atlantic crossing, There are more than 25,000 flights flown each day: 640TB x 25.000 = 16 EB Almost all of this data are lost on completion of the flight
  • 16. “If you went to bed last night as an industrial company, you’re going to wake up this morning as a software and analytics company.” Data are the new raw material: the core of the 4^ Industrial Revolution new source of innovation & lever to achieve business sustainability. ?Jeff Immelt - GE CEO
  • 17. Machine-generated data not always reach the cloud physics, economics, privacy 0 1 0 11 00 1 0 1 0 11 1 0 11 1 1 1 000 10 11 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 1 0 1 1 1 0 11 1 0 11 1 0 1 0 1 0 1 0 1 0 1 0 11 1 0000 1 1 0 1 1 0 11 0 1 0 11 00 1 0 11 0 0 1 0 11 00 1 0 1 0 11 1 0 11 1 1 1 000 10 11 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 1 0 1 1 1 0 11 1 0 11 1 0 1 0 1 0 1 0 1 0 1 0 11 1 0000 1 1 0 1 1 0 11 0 1 0 11 00 1 0 11 0
  • 18. High Perfomance Embedded PC Edge Computing at a glance Images are just for reference, final image depends on the configuration Main Specification Power (nominal) 325W Power (peaks) 390W Power source 9-18Vdc (12Vdc nominal) Dimensions (HxWxD) 157mm x 162mm x 455mm Weight Approximately 15Kg up to 80 Teraflops/sec
  • 19. A Foundation for Industrial IoT • Seamlessly connect and manage disparate devices • Integrate and transform data reliably and securely • Connect operational technology (OT) to enterprise information technology (IT) • Store and manage data end to end • Act on analyzed data end to end
  • 20. SISSA MCA 2013 Addressing the increase in Software Complexity Performance/Productivity Complexity and Size Assembly Limited codes reuse Difficult to program OS Easy PC Programming Backward compatible Containers Virtualization Software defined Hyperconverged State of the Art Security 20
  • 21. Data Analytics, Predictive Tools Enterprise-Class IoT Architecture & Stack Industrial IoT = Distributed Data Center Multi-service Gateway IoT Integration Platform
  • 22. Everyware IoT IoT Gateway IoT Cloud Platform Business Applications • Connectivity / Message Routing • Device Registry and Management • Data Management and Storage • Event Management • Application Enablement • Communications/messaging • Data pre-processing • Real-time data analytics • Real-time actions/rules • Application Container • Remote management • Communications/messaging • Data acquisition
  • 23. The Internet of Things Putting Things in Perspective (Industry 4.0 IT View) Application Integration IoT / M2M Integration Platform Device HW IIoT Process Handling Data Management Other Applications Data Warehousing / Big Data IT Infrastructure Management & Services Manufacturing Execution System (MES) Warehouse Management System (WMS) Enterprise Resource Planning (ERP) Customer Relationship Management (CRM) Core IT Infrastructure
  • 24. The Data Lake: the dawn of Industry 4.0 Mobile App Web App 3rd party back-end integration Process ControlERP, EMS IIoT is instrumental to the generation of the Data Lake
  • 25. Operational advantages of Industrial IoT -savings on scheduled repairs ~12% -reduced maintenance costs ~30% -fewer breakdowns ~70%
  • 26. Fundamental Business Model Shift products evolve to integrated «bundles» of services is happening in almost all industries on a global scale Servitization DATA IOT Sensors SERVICES platform M2M monitoring management REMOTE Preventive Maintenance many-to-one machines actuators HMI nearreal-time MQTT PROTOCOLS field bus gateway MULTI SERVICE REST unattended OT IT/OT INTEGRATION iPaaS IaaS BIG DATA ANALYTICS business intelligence IT CEP CLOUD on-premise database ESB SaaS MOBILE APPLICATION INTERNET virtualization IaaS IP open source CONTEXT BusinessModels ASSET cellular wireless satellite BUSINESS services servitization CUSTOMER PARTNER OEMs ORGANIZATIONS PRODUCT VALUE support INFRASTRUCTURE outsourcing new business models everything as a service DaaS iPaaS TCO FLEXIBILITY
  • 27. Biennale Innovazione 2017 New Business model relay on Data DataThings/Devices Business Models Digital Twin o SERVITIZATION o GAMIFICATION o PROSUMERIZATION
  • 28. Industry 4.0 is: Digitization and Time by ‘slices’ - IoT = Digitization - Digitization = Outcome / Time of Use
  • 30. Industry 4.0 and Retrofit INDUSTRIAL IOT GATEWAY IOT CLOUD PLATFORM REMOTE MAINTENANCE AND SUPPORT ON-SITE DATA ANALYTICS IOT ON-SITE PLATFORM
  • 31. Remote/Predictive Maintenance INDUSTRIAL IOT GATEWAY IOT APPLICATION IOT PLATFORM NURSE APPLICATION REMOTE MAINTENANCE AND SUPPORT DATA ANALYTICS
  • 32. Connected Products IOT APPLICATION IOT PLATFORM CONSUMER SERVICE CENTER
  • 33. Re-Thinking • Products • Value Add • Business Model • Business Processes 33