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Angelo Corsaro, PhDChief Technology Officer

angelo.corsaro@prismtech.com

Fog Computingwith 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

*CISCOThe 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 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

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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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Any use of these slides that does include me as Author/Co-Author is plagiaryelastic and high-performance computing, 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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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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This slides have been crafted by Angelo Corsaro

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This slides have been crafted by Angelo Corsaro

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This slides have been crafted by Angelo Corsaro

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This slides have been crafted by Angelo Corsaro

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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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needed transparently while optimising the data sharing

Device-2-DeviceDevice-2-Cloud

Fog-2-Cloud

Device-2-Fog

Cloud-2-Cloud

Fog-2-Fog

infra

structure

sdk

Location Transparency

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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

infra

structure

sdk

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

infra

structure

sdk

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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PerformanceVortex 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

infra

structure

sdk

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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

infra

structure

sdk

Analytics

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SecurityData-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

infra

structure

sdk

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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 AnalyticsFog 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 AnalyticsFog 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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