The Fog Computing [fɒg kəmˈpjuːtɪŋ] paradigm was introduced to extend and overcome the limitations imposed by cloud centric architectures with respect to their assumptions on connectivity, bandwidth and latency. As such Fog Computing aims at bringing elastic and high-performance computing, storage and communication at the edge. Early demonstration of Fog Computing architectures such as those carried on the Barcelona Smart City demonstrator, have proved the effectiveness of this paradigm and initiatives such as the Open Fog Consortium aim at popularising and accelerating the adoption of Fog computing as one of the key paradigm at the foundation of IoT. In this presentation we explain the forces that drove the introduction of Fog Computing and provide a throughout definition of the underlying architectural style. Additionally we will explore the relationships and synergies that exist between Fog and Cloud Computing. Finally we will show how Vortex naturally supports Fog Computing Architectures.

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Angelo Corsaro, PhD
Chief Technology Officer
angelo.corsaro@prismtech.com
Fog Computing
with VORTEX

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Why do we need
Fog Computing?

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The majority of IoT systems
are today cloud-centric
These systems are
characterised by device-to-
cloud communication and
in-cloud analytics
Cloud-Centric
Architectures

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*IDC
*CISCO
The number of IoT devices is
expected to grow
exponentially
Too many Devices

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*IDC
*CISCOCISCO estimates an average
of 6.6 devices per person
leading to 50B devices in
2020.
Too many Devices

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*IDC
*CISCO
IDC estimates 27.9 devices
per person leading to 212B
Too many Devices

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Industrial IoT applications such
as Smart Grids , Smart
Factories, Smart Farming,
Connected Vehicles and Smart
Cities are not compatible with
the assumptions of Cloud
Centric Architectures
Industrial IoT

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There is sufficient
bandwidth to push data to
the Cloud.
Cloud-Centric
Architectures
Assumption #1

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Smart Factory
0.5 TB of data
produced per day

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Connectivity is not an
issue. A device will (almost)
always be connected to the
cloud.
Cloud-Centric
Architectures
Assumption #2

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Autonomous
Vehicles
coordination of fast moving
autonomous vehicles
intermittent
connectivity
dynamic pairing of devices

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The latency induced by
cloud-centralised analytics
and control is compatible
with the dynamic of the IoT
system
Cloud-Centric
Architectures
Assumption #3

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Latency
Constraints

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The connectivity cost is
negligible
Cloud-Centric
Architectures
Assumption #4

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Industrial companies are
comfortable in exposing
their data to the cloud.
Cloud-Centric
Architectures
Assumption #5

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What is
Fog Computing?

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Any use of these slides that does include me as Author/Co-Author is plagiaryfog computing is like cloud computing but
closer to the “Things”
Fog Computing| fɒg kəmˈpjuːtɪŋ|

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storage and communication at the edge
Fog Computing| fɒg kəmˈpjuːtɪŋ|

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Fog is about reactive cyber-physical applications
Fog is about interacting with the physical world

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Cloud technologies are not always
applicable on the edge because of
performance and resource constraints

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A new infrastructure has to be "invented"
for the edge, innovating when necessary
and reusing when possible

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Real-Time Performance and
Reliability
Location- and Resource-
Aware deployment
Resource and Device
Virtualisation
Fog Computing
traits

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Resource aware provisioning
of applications and tenants
Tamper Proof Security (in
some deployments it is easier
to get physical access to the
fog platform)
Fog Computing
traits

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Has it been proven?

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Fog Computing
with Vortex

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Vortex is a standard technology for
efficient, ubiquitous, interoperable,
secure and platform independent data
sharing across network connected
devices
in151
Characters

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Fog Computing
Vortex naturally fits with the fog
computing paradigm and is the only
fog-ready data-sharing infrastructure

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Vortex lets data flow where
needed transparently while
optimising the data sharing
Device-2-DeviceDevice-2-Cloud
Fog-2-Cloud
Device-2-Fog
Cloud-2-Cloud
Fog-2-Fog
infrastructuresdk
Location
Transparency

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Whenever possible data is
shared using Device-to-
Device communication
Location
Transparency
Device-2-DeviceDevice-2-Cloud
Fog-2-Cloud
Device-2-Fog
Cloud-2-Cloud
Fog-2-Fog
infrastructuresdk

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When necessary data
sharing is mediated by
Vortex Infrastructure, i.e.,
Vortex Fog and Cloud
Device-2-DeviceDevice-2-Cloud
Fog-2-Cloud
Device-2-Fog
Cloud-2-Cloud
Fog-2-Fog
infrastructuresdk
Location
Transparency

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location
transparency
Cloud Computing
Fog Computing
Device-to-Cloud
Communication
Device-to-Device
Communication
Fog-to-Cloud
Communication
Cloud-to-Cloud
Communication
Device-to-Device
Communication
Collect | Store | Analyse | Share
Collect | Store | Analyse | Share
Fog Computing
Fog Computing

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Performance
Vortex delivers low and
deterministic latency as
well as very high throughput
30 μs peer-to-peer latency
4+ Mmsgs/sec p2p
throughput
Device-2-DeviceDevice-2-Cloud
Fog-2-Cloud
Device-2-Fog
Cloud-2-Cloud
Fog-2-Fog
infrastructuresdk

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Native Integration with the
hottest real-time analytics
platforms and CEP
Device-2-DeviceDevice-2-Cloud
Fog-2-Cloud
Device-2-Fog
Cloud-2-Cloud
Fog-2-Fog
infrastructuresdk
Analytics

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Security
Data-Level security with
Pluggable Authentication
Access Control and Crypto
Device-2-DeviceDevice-2-Cloud
Fog-2-Cloud
Device-2-Fog
Cloud-2-Cloud
Fog-2-Fog
infrastructuresdk

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Deployment

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Vortex device, such as Lite, Café,
and Web are used to share data
between different kinds of
applications within a car
Café and Web are typically used
Android / HTML5 based
infotainment
Lite in typically used in ECU,
sensors and onboard analytics

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Vortex Fog is used to
transparently (for in car apps)
decouple and control the data
sharing within and across the
car
Vortex Fog also helps defining
security boundaries and
policies

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Vortex Fog efficiently and
securely deals with car to car
communication
Vortex Fog allows to
decouple the transport used
for in-car communication
and that used for car-to-car
communication

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Vortex Fog efficiently and
securely deals with cloud
connectivity adapting traffic
flows and protocols
Device-to-Cloud
Communication
Cloud Analytics
Fog Analytics
Fog Analytics
Fog Analytics

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Vortex Cloud efficiently
and securely makes data
available to any device at
an Internet Scale
Device-to-Cloud
Communication
Cloud Analytics
Fog Analytics
Fog Analytics
Fog Analytics

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Fog Computing will underpin the largest
majority of IoT systems
Fog Computing Platforms are starting to
emerge in the market
Vortex is the only Data-Sharing
Technology that is Fog-Ready
In
Summary

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Fog Computing
Blog
http://bit.ly/fogblog-part-i

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