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AngeloCorsaro,PhDChiefTechnologyOfficerADLINKTechnologiesInc.

angelo.corsaro@adlinktech.com

Fog Computing Defined

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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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Why do we need Fog Computing?

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*IDC

*CISCO

Too many DevicesThe number of IoT devices is

expected to grow exponentially

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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 Factory0.5 TB of data

produced per day

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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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Any use of these slides that does include me as Author/Co-Author is plagiaryThe 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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Any use of these slides that does include me as Author/Co-Author is plagiaryLatency Constraints

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The connectivity cost is negligible

Cloud-Centric Architectures Assumption #4

Cost of connectivity is an issue in Smart Grids as the operator has to pay for the

2G/3G/4G data-link

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Any use of these slides that does include me as Author/Co-Author is plagiaryIndustrial 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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networking functions closer to the users along a cloud-to-thing continuum

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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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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[source: OpenFog Whitepaper http://bit.ly/openfog-wp]

Open Fog

The recently established OpenFog is accelerating and facilitating the expansion, convergence and interoperability of Fog computing stacks

Consortium

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Open Fog Reference Architecture

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Barcelona Smart City Platform

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This slides have been crafted by Angelo Corsaro

Any use of these slides that does include me as Author/Co-Author is plagiaryMEC

MEC is a network architecture concept that enables Integrated networking, computing and storage resources into one programmable and unified edge infrastructure.

Mobile/Multi-access Edge Computing (MEC)

The basic idea behind MEC is that by running applications and performing related processing tasks closer to the cellular customer, network congestion is reduced and applications perform better.

MEC

Fog vs. MEC

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MECNet-Core

The MEC infrastructure resides at the edge of the operator infrastructure.

The operator own and manages the infrastructure but not the “things”

MEC Boundaries

User Terminal, Things, …

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The Fog infrastructure resides on premises and at the edge of end-system infrastructure.

The fog infrastructure as well as the “things” are often owned and managed by the same authority, i.e. smart factory, smart grid, etc.

FOG Boundaries

FogExternalNetwork

Things, Machines, User Terminal, …

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MECNet-Core Fog

Things, Machines, User Terminal, …

The Fog and MEC infrastructure exist within different administrative boundaries

The ability of leveraging Fog, on premises, and MEC at the edge of the network, will be the ideal situation for demanding IIoT applications

FOG / MEC Boundaries

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5G and MEC focus on Real-Fast

Beside the real-fast Fog has to support Real-Time

Real-Time and Real-Fast are not the same!

Real-Fast vs. Real-Time

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Latency

Throughput

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Multi-Te

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Security

High Availa

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Manag

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Hethero

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MECFOG

From an high level perspective MEC and Fog computing aim

at virtualising compute, storage and networking at the

edge

Yet, their requirements differ significantly in some areas as Fog computing deals with OT

systems

MEC / Fog Needs

Summing UPMEC and Fog Computing aims at the same high level goal, which is providing a virtualised compute, storage and communication fabric

Yet they have unique requirements stemming from the target application domain

Platform that wish to address and unify MEC and Fog computing need to exploit similarities but more importantly address the differences

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