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© 2018 Arm Limited
The Fog.
Mark Hambleton
March 2018
Today’s world of devices connected to clouds looks set to evolve
with more intelligence and processing being pushed to the edge
or migrating between the cloud and the edge.
The very definition of edge is evolving too. In this presentation
we will look at some potential futures made possible by the
emergence of the fog and its implications for the segments that
it embraces.
© 2017 Arm Limited2
© 2018 Arm Limited
Introduction
Today I’d like to
• Introduce you to a “new” trend
• Briefly describe the what and the why
• Describe some key attributes
• Explain why it’s important to us all
• And then hopefully you’ll be as excited as I am… ;-)
© 2017 Arm Limited3
© 2018 Arm Limited
Why me?
© 2017 Arm Limited4
© 2018 Arm Limited
The smartphone revolution
© 2017 Arm Limited5
© 2018 Arm Limited
IoT - now
© 2017 Arm Limited6
© 2018 Arm Limited
The next phase of IoT is driving big changes
© 2017 Arm Limited7
© 2018 Arm Limited
Really? Smart home == autonomous vehicle?
When you think about a smart-anything - it will (most likely)
• Host multiple sensors of different types
• Control actuators of different types and
• Require some level of safety
• Connect to multiple cloud services for different purposes
• Require storage for local content caching
• Require compute resources to process data and make decisions
So in some respects: yes, really…
© 2017 Arm Limited8
© 2018 Arm Limited
So, what’s the problem?
© 2017 Arm Limited9
© 2018 Arm Limited
“The EDGE will EAT
the CLOUD”
Gartner Inc.
March 2017
© 2017 Arm Limited10
© 2018 Arm Limited
Trend : Pushing cloud services to the edge
Cloud
Fog
Core NetworkLocal Network Access Network
© 2017 Arm Limited11
© 2018 Arm Limited
What does this mean in reality?
© 2017 Arm Limited12
© 2018 Arm Limited
What’s behind the move toward fog?
Sub-millisecond
Response
PrivacyBuilt in Security
Autonomy When
Communications Go
Down
© 2017 Arm Limited13
© 2018 Arm Limited
© 2017 Arm Limited14
© 2018 Arm Limited
The Cloud to Things Continuum
Mission Statement:
To drive industry and academic leadership in fog computing architecture, testbed
development, and interoperability and composability deliverables that seamlessly
bridge the cloud-to-things continuum.
Storage NetworkCompute AcceleratorsControl
Founding members
© 2017 Arm Limited15
© 2018 Arm Limited
Security Scalability Open Autonomy RAS Agility Hierarchy Programmability
Storage
Network
Compute Accelerators
Control
• Trust
• Attestation
• Privacy
• Localized command,
control
and processing
• Orchestration
and Analytics
• Avoidance of network
taxes
• Resource visibility and
control
• White box decision
making
• Interop and Data
normalization
• Flexible
• Cognition
and agility
• Value of data
• Reliability
• Availability
• Serviceability
• Tactical and strategic
decision making
• Data to wisdom
• Fully cloud enabled
• Computational and
System
• Autonomy at all levels
• Programmable SW/HW
• Virtualization and multi-
tenant
• App Fluidity
© 2017 Arm Limited16
© 2018 Arm Limited
Security
Storage
Network
Compute Accelerators
Control
Security
• Secure
• Updatable and up-to-date
© 2017 Arm Limited17
© 2018 Arm Limited
Security
Storage
Network
Compute Accelerators
Control
Security
• Secure
• Updatable and up-to-date
Trust and Attestation
• Trusting the device is secure and up to date
• Knowing the device is what it says it is
(Identity)
© 2017 Arm Limited18
© 2018 Arm Limited
Security
Storage
Network
Compute Accelerators
Control
Security
• Secure
• Updatable and up-to-date
Trust and Attestation
• Trusting the device is secure and up to date
• Knowing the device is what it says it is
(Identity)
Privacy
• Controlled access to data
© 2017 Arm Limited19
© 2018 Arm Limited
Scalability Open
Storage
Network
Compute Accelerators
Control
Scalability
• Localized command, control and processing
• Orchestration and Analytics
• Avoidance of network taxes
Open
• Resource visibility and control
• White box decision making
• Interop and Data normalization
© 2017 Arm Limited20
© 2018 Arm Limited
Security Scalability Open Autonomy RAS Agility Hierarchy Programmability
Storage
Network
Compute Accelerators
Control
• Trust
• Attestation
• Privacy
• Localized command,
control
and processing
• Orchestration
and Analytics
• Avoidance of network
taxes
• Resource visibility and
control
• White box decision
making
• Interop and Data
normalization
• Flexible
• Cognition
and agility
• Value of data
• Reliability
• Availability
• Serviceability
• Tactical and strategic
decision making
• Data to wisdom
• Fully cloud enabled
• Computational and
System
• Autonomy at all levels
• Programmable SW/HW
• Virtualization and multi-
tenant
• App Fluidity
© 2017 Arm Limited21
© 2018 Arm Limited
Examples…
© 2017 Arm Limited22
© 2018 Arm Limited
Public Safety
Video Surveillance
Problem
• Cloud doesn’t scale for wide surveillance
• Rapid decisions on location
Challenges
• Terabytes of data from high definition cameras
Fog Technology
• Intelligent partitioning of video processing
between cameras and cloud
• Real-time, latency sensitive analytics
© 2017 Arm Limited23
© 2018 Arm Limited
Supply Chain Delivery
Aerial Drones
Problem
• Volume/expense of traditional delivery
Challenges
• Safety, bandwidth, and operational challenges
• Regulatory complexities
Fog Technology
• Coordinates drone landings, take offs, loading,
unloading, maintenance
• Autonomous awareness, analysis and sub-millisecond
response to changing conditions
• Security
• Highly scalable
© 2017 Arm Limited24
© 2018 Arm Limited
Process Manufacturing
Craft Brewing
Challenge
• Maintain quality and consistency working with natural ingredients
• Keep the brewing recipe a secret
• Reduce variances that can be introduced by manufacturing
equipment /
machinery, processes and weather.
• Predictive maintenance
• Optimize factory investments when faced with demand
fluctuations
Why Fog
• Creation of a digital twin frees the brewer to explore new recipes.
• Privacy of secret recipe(s)
• Fog-enabled predictive maintenance for proactive
detection/repair.
• Fog-based resource sharing
© 2017 Arm Limited25
© 2018 Arm Limited
Edge Intelligence, enabling enterprises,
manufacturers, infrastructure, cities and IoT
vendors with real-time business and
operational insights
• Reduces, analyzes, trains & predicts from
edge data, on-the-fly
• Creates intelligent Digital Twin models of
reality from gray data
• Edge compute fabric for analysis & ML driven
predictions
• Delivers business insights by real-time UI/API
https://www.swim.ai/
© 2017 Arm Limited26
© 2018 Arm Limited
Cloud
OpenFog
Sensors & Actuators
Gateway box or
VM in a Fog Node
Gateway-to-Fog
Fog-to-Cloud Protocols
Fog-to-Fog Protocols
Sensor-to-Gateway
Gateway-to-Fog
Sensor-to-Gateway
Gateway-to-Fog
Sensor-to-Gateway
Gateway-to-Fog
Sensor-to-Gateway
- Compute (+ Accelerators)
- Storage
- Networking
Edge
“Things”
General Edge-to-Fog-to-Cloud Fog infrastructure
So what?
Services closer to the edge
• Distributed compute
• Varying types / capacities
• Multiple architectures
• Storage
• Valuable data at the edge
• Content protection
• Interoperability
• Standards based
• Security
• Trust
• Privacy
• Updatability and up to date!
© 2017 Arm Limited27
© 2018 Arm Limited
And it opens up so many new opportunities…
© 2017 Arm Limited28
© 2018 Arm Limited
Leaders work in
And we already work in many components of the Fog
Core Members
Club Members
Group Members
Community Members
© 2017 Arm Limited29
© 2018 Arm Limited
Systems of connected
embedded devices are the
new disruption
Fog computing will enable the creation of
complex systems based on technologies from
all segments…
And more importantly lots of new
opportunities!
3030
Thank You!
Danke!
Merci!
谢谢!
ありがとう!
Gracias!
Kiitos!
감사합니다
धन्यवाद
© 2018 Arm Limited

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HKG18- 200K1- Keynote Mark Hambleton: The Fog

  • 1. © 2018 Arm Limited The Fog. Mark Hambleton March 2018 Today’s world of devices connected to clouds looks set to evolve with more intelligence and processing being pushed to the edge or migrating between the cloud and the edge. The very definition of edge is evolving too. In this presentation we will look at some potential futures made possible by the emergence of the fog and its implications for the segments that it embraces.
  • 2. © 2017 Arm Limited2 © 2018 Arm Limited Introduction Today I’d like to • Introduce you to a “new” trend • Briefly describe the what and the why • Describe some key attributes • Explain why it’s important to us all • And then hopefully you’ll be as excited as I am… ;-)
  • 3. © 2017 Arm Limited3 © 2018 Arm Limited Why me?
  • 4. © 2017 Arm Limited4 © 2018 Arm Limited The smartphone revolution
  • 5. © 2017 Arm Limited5 © 2018 Arm Limited IoT - now
  • 6. © 2017 Arm Limited6 © 2018 Arm Limited The next phase of IoT is driving big changes
  • 7. © 2017 Arm Limited7 © 2018 Arm Limited Really? Smart home == autonomous vehicle? When you think about a smart-anything - it will (most likely) • Host multiple sensors of different types • Control actuators of different types and • Require some level of safety • Connect to multiple cloud services for different purposes • Require storage for local content caching • Require compute resources to process data and make decisions So in some respects: yes, really…
  • 8. © 2017 Arm Limited8 © 2018 Arm Limited So, what’s the problem?
  • 9. © 2017 Arm Limited9 © 2018 Arm Limited “The EDGE will EAT the CLOUD” Gartner Inc. March 2017
  • 10. © 2017 Arm Limited10 © 2018 Arm Limited Trend : Pushing cloud services to the edge Cloud Fog Core NetworkLocal Network Access Network
  • 11. © 2017 Arm Limited11 © 2018 Arm Limited What does this mean in reality?
  • 12. © 2017 Arm Limited12 © 2018 Arm Limited What’s behind the move toward fog? Sub-millisecond Response PrivacyBuilt in Security Autonomy When Communications Go Down
  • 13. © 2017 Arm Limited13 © 2018 Arm Limited
  • 14. © 2017 Arm Limited14 © 2018 Arm Limited The Cloud to Things Continuum Mission Statement: To drive industry and academic leadership in fog computing architecture, testbed development, and interoperability and composability deliverables that seamlessly bridge the cloud-to-things continuum. Storage NetworkCompute AcceleratorsControl Founding members
  • 15. © 2017 Arm Limited15 © 2018 Arm Limited Security Scalability Open Autonomy RAS Agility Hierarchy Programmability Storage Network Compute Accelerators Control • Trust • Attestation • Privacy • Localized command, control and processing • Orchestration and Analytics • Avoidance of network taxes • Resource visibility and control • White box decision making • Interop and Data normalization • Flexible • Cognition and agility • Value of data • Reliability • Availability • Serviceability • Tactical and strategic decision making • Data to wisdom • Fully cloud enabled • Computational and System • Autonomy at all levels • Programmable SW/HW • Virtualization and multi- tenant • App Fluidity
  • 16. © 2017 Arm Limited16 © 2018 Arm Limited Security Storage Network Compute Accelerators Control Security • Secure • Updatable and up-to-date
  • 17. © 2017 Arm Limited17 © 2018 Arm Limited Security Storage Network Compute Accelerators Control Security • Secure • Updatable and up-to-date Trust and Attestation • Trusting the device is secure and up to date • Knowing the device is what it says it is (Identity)
  • 18. © 2017 Arm Limited18 © 2018 Arm Limited Security Storage Network Compute Accelerators Control Security • Secure • Updatable and up-to-date Trust and Attestation • Trusting the device is secure and up to date • Knowing the device is what it says it is (Identity) Privacy • Controlled access to data
  • 19. © 2017 Arm Limited19 © 2018 Arm Limited Scalability Open Storage Network Compute Accelerators Control Scalability • Localized command, control and processing • Orchestration and Analytics • Avoidance of network taxes Open • Resource visibility and control • White box decision making • Interop and Data normalization
  • 20. © 2017 Arm Limited20 © 2018 Arm Limited Security Scalability Open Autonomy RAS Agility Hierarchy Programmability Storage Network Compute Accelerators Control • Trust • Attestation • Privacy • Localized command, control and processing • Orchestration and Analytics • Avoidance of network taxes • Resource visibility and control • White box decision making • Interop and Data normalization • Flexible • Cognition and agility • Value of data • Reliability • Availability • Serviceability • Tactical and strategic decision making • Data to wisdom • Fully cloud enabled • Computational and System • Autonomy at all levels • Programmable SW/HW • Virtualization and multi- tenant • App Fluidity
  • 21. © 2017 Arm Limited21 © 2018 Arm Limited Examples…
  • 22. © 2017 Arm Limited22 © 2018 Arm Limited Public Safety Video Surveillance Problem • Cloud doesn’t scale for wide surveillance • Rapid decisions on location Challenges • Terabytes of data from high definition cameras Fog Technology • Intelligent partitioning of video processing between cameras and cloud • Real-time, latency sensitive analytics
  • 23. © 2017 Arm Limited23 © 2018 Arm Limited Supply Chain Delivery Aerial Drones Problem • Volume/expense of traditional delivery Challenges • Safety, bandwidth, and operational challenges • Regulatory complexities Fog Technology • Coordinates drone landings, take offs, loading, unloading, maintenance • Autonomous awareness, analysis and sub-millisecond response to changing conditions • Security • Highly scalable
  • 24. © 2017 Arm Limited24 © 2018 Arm Limited Process Manufacturing Craft Brewing Challenge • Maintain quality and consistency working with natural ingredients • Keep the brewing recipe a secret • Reduce variances that can be introduced by manufacturing equipment / machinery, processes and weather. • Predictive maintenance • Optimize factory investments when faced with demand fluctuations Why Fog • Creation of a digital twin frees the brewer to explore new recipes. • Privacy of secret recipe(s) • Fog-enabled predictive maintenance for proactive detection/repair. • Fog-based resource sharing
  • 25. © 2017 Arm Limited25 © 2018 Arm Limited Edge Intelligence, enabling enterprises, manufacturers, infrastructure, cities and IoT vendors with real-time business and operational insights • Reduces, analyzes, trains & predicts from edge data, on-the-fly • Creates intelligent Digital Twin models of reality from gray data • Edge compute fabric for analysis & ML driven predictions • Delivers business insights by real-time UI/API https://www.swim.ai/
  • 26. © 2017 Arm Limited26 © 2018 Arm Limited Cloud OpenFog Sensors & Actuators Gateway box or VM in a Fog Node Gateway-to-Fog Fog-to-Cloud Protocols Fog-to-Fog Protocols Sensor-to-Gateway Gateway-to-Fog Sensor-to-Gateway Gateway-to-Fog Sensor-to-Gateway Gateway-to-Fog Sensor-to-Gateway - Compute (+ Accelerators) - Storage - Networking Edge “Things” General Edge-to-Fog-to-Cloud Fog infrastructure So what? Services closer to the edge • Distributed compute • Varying types / capacities • Multiple architectures • Storage • Valuable data at the edge • Content protection • Interoperability • Standards based • Security • Trust • Privacy • Updatability and up to date!
  • 27. © 2017 Arm Limited27 © 2018 Arm Limited And it opens up so many new opportunities…
  • 28. © 2017 Arm Limited28 © 2018 Arm Limited Leaders work in And we already work in many components of the Fog Core Members Club Members Group Members Community Members
  • 29. © 2017 Arm Limited29 © 2018 Arm Limited Systems of connected embedded devices are the new disruption Fog computing will enable the creation of complex systems based on technologies from all segments… And more importantly lots of new opportunities!