building autonomous and connected vehicle systems with the vortex internet of things data sharing...

Building Autonomous and Connected Vehicle Systems with the

Vortex IoT Data Sharing Platform Angelo  Corsaro,  PhD  Chief  Technology  Officer  

angelo.corsaro@prismtech.com

HYPE CYCLE 2015

GARTNER

HYPE CYCLE 2015

GARTNER

HYPE CYCLE 2015

GARTNER

HYPE CYCLE 2015

GARTNER

What is IoT all About?

IoT is about extracting value through the insights derived from the real-time and historical

data produced by a cyber-physical system

— Data is the currency of IoT —

the buzZ

CIoT

Humanismdigital

smartcollar

connected f0rk

smart socks

Smart Lightbulbs

CIoT Platforms

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Cloud-Centric Architecture

Device-2-Cloud Communication

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the ValueIIoT

While consumer applications such as fitness monitors and self-driving cars attract the most attention and can create significant value, we estimate that B2B/Industrial applications can generate nearly 70 percent of potential value enabled by IoT.

THE INTERNET OF THINGS:

MAPPING THE VALUE BEYOND THE HYPE Mc Kinsey, June 2015

How is IIoT Different?

device-to-device communication

Latency Constraints

Autonomous Vehicles

coordination of fast moving autonomous vehicles

intermittent connectivity

dynamic pairing of devices

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Smart Factory0.5 TB of data

produced per day

Oil Rig 30000 data pointsonly 1% of available data

used today

CIoT / IIoT Differences

IIoT is concerned with reactive cyber-physical systems IIoT is about interacting with the physical world

Cloud-centric architectures centred around device-to-cloud communication are not

applicable/sufficient for IIoT applications because of performance, connectivity and

resource constraints

This essential difference introduces a series of requirements for IIoT platform

that are not addressed by device-2-cloud centric IoT platforms

Connected Autonomous Vehicles

l

Data Sharingneeds

Device-2-Devicecommunication

Device-2-Cloud connectivity is not always possible due to connectivity challenges, response time or data volumes

Location Transparency

Data should flow where needed transparently and independently from the location of its source

Vehicle diagnostics and sensor data should transparently flow where needed. For instance within the car for driving assistance and outside for preventive maintenance

Performance Transparency

Data flows should be dynamically adapted to deal with QoS/bandwidth differences across networks

The data that is sent across vehicles should be dynamically adjusted depending on the quality of the connection. Critical data should alleyways take priority!

Cloud + FogComputing

Cloud and Fog computing architectures should be transparently supported to allow for data to be processed wherever makes the most sense

Autonomous Vehicles

coordination of fast moving autonomous vehicles

intermittent connectivity

dynamic pairing of devices

DurabilityAlong with real-time data, historical data should be available for query and non-real-time analytics

Access to vehicle data must be secure!

Interoperability

Data sharing standard are a pre-prerequisite for IoT.

Without standards there is not interoperability, without interoperability there is not IoT

device-to-device communication

Latency Constraints

SecurityData-Level security should be provided to simplify the deployment of secure IoT systems

Access to vehicle data must be secure!

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

in131 Characters

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Proven in Defence / Aerospace

Integrated Modular Vetronics Training & Simulation Systems Naval Combat Systems

Air Traffic Control & Management Unmanned Air Vehicles Aerospace Applications

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Broad Commercial Applications

Agricultural Vehicle Systems

Train Control Systems Complex Medical Devices

Smart CitiesLarge Scale SCADA Systems

High Frequency Auto-Trading

Device-2-DeviceDevice-2-Cloud

Fog-2-Cloud

Device-2-Fog

Cloud-2-Cloud

Fog-2-Fog

Device implementations optimised for OT, IT and

consumer platforms

Native support for Cloud and Fog Computing Architectures

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VORTEX supports both the Cloud and the Fog Computing Paradigm

VORTEX natively supports:

- Device-to-Device Communication

- Device-to-Cloud Communication

Cloud, Fog and Edge Computing

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

Available across IT, Consumer and OT platforms Device-2-DeviceDevice-2-Cloud

Fog-2-Cloud

Device-2-Fog

Cloud-2-Cloud

Fog-2-Fog

Polyglot and Interoperable across Programming

Languages Device-2-DeviceDevice-2-Cloud

Fog-2-Cloud

Device-2-Fog

Cloud-2-Cloud

Fog-2-Fog

Fully Independent of the Cloud Infrastructure

Device-2-DeviceDevice-2-Cloud

Fog-2-Cloud

Device-2-Fog

Cloud-2-Cloud

Fog-2-Fog

Private Clouds

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

Device-2-DeviceDevice-2-Cloud

Fog-2-Cloud

Device-2-Fog

Cloud-2-Cloud

Fog-2-Fog

High Performance

30 μs peer-to-peer latency

2.5M+ msgs/sec peer-to-peer throughput

Device-2-DeviceDevice-2-Cloud

Fog-2-Cloud

Device-2-Fog

Cloud-2-Cloud

Fog-2-Fog

High Performance

4 μs fog/cloud routing latency

Grasping the Idea

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Vortex provides a Distributed Data Space abstraction where applications can autonomously and asynchronously read and write data enjoying spatial and temporal decoupling

Its built-in dynamic discovery isolates applications from network topology and connectivity details

Vortex’ Data Space is decentralised

High Level Abstraction

DDS Global Data Space

...

Data Writer

Data Writer

Data Writer

Data Reader

Data Reader

Data Reader

Data Reader

Data Writer

TopicAQoS

TopicBQoS

TopicCQoS

TopicDQoS

Conceptual Model

DDS Global Data Space

...

Data Writer

Data Writer

Data Writer

Data Reader

Data Reader

Data Reader

Data Reader

Data Writer

TopicAQoS

TopicBQoS

TopicCQoS

TopicDQoS

Conceptual Model Actual Implementation

Data Writer

Data Writer

Data Writer

Data Reader

Data Reader

Data Reader

Data Writer

TopicAQoS

TopicBQoS

TopicCQoS

TopicDQoS

TopicDQoS

TopicDQoS

TopicAQoS

DDS Global Data Space

...

Data Writer

Data Writer

Data Writer

Data Reader

Data Reader

Data Reader

Data Reader

Data Writer

TopicAQoS

TopicBQoS

TopicCQoS

TopicDQoS

The  communication  between  the  DataWriter  and  matching  DataReaders  can  be  peer-­‐to-­‐peer  exploiting  UDP/IP  (Unicast  and  Multicast)or  TCP/IP

Data Writer

Data Writer

Data Writer

Data Reader

Data Reader

Data Reader

Data Writer

TopicAQoS

TopicBQoS

TopicCQoS

TopicDQoS

TopicDQoS

TopicDQoS

TopicAQoS

The  communication  between  the  DataWriter  and  matching  DataReaders  can  be  “brokered”  but  still  exploiting  UDP/IP  (Unicast  and  Multicast)or  TCP/IP

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Abstracting Connectivity

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

Autonomous Vehicles

coordination of fast moving autonomous vehicles

intermittent connectivity

dynamic pairing of devices

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A Topic defines a domain-wide information’s class

A Topic is defined by means of a (name, type, qos) tuple, where

• name: identifies the topic within the domain

• type: is the programming language type associated with the topic. Types are extensible and evolvable

• qos: is a collection of policies that express the non-functional properties of this topic, e.g. reliability, persistence, etc.

Topic

TopicTypeName

QoS

struct  CarDynamics  {        @key        string    cid;        long        x;      long    y;        float      dx;    long    dy;  }

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Vortex “knows” about application data types and uses this information provide type-safety and content-based routing

Content Awarenessstruct  CarDynamics  {        @key        string    cid;        long        x;      long    y;        float      dx;    long    dy;  }

cid x y dx dyGR 33N GO 167 240 45 0LO 00V IN 65 26 65 0AN 637 OS 32 853 0 50AB 123 CD 325 235 80 0

“dx  >  50  OR  dy  >  50”

Type

CarDynamics

cid x y dx dyLO 00V IN 65 26 65 0AB 123 CD 325 235 80 0

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DDS provides a rich set of QoS-Policies to control local as well as end-to-end properties of data sharing

Some QoS-Policies are matched based on a Request vs. Offered (RxO) Model

QoS Policies

HISTORY

LIFESPAN

DURABILITY

DEADLINE

LATENCY BUDGET

TRANSPORT PRIO

TIME-BASED FILTER

RESOURCE LIMITS

USER DATA

TOPIC DATA

GROUP DATA

OWENERSHIP

OWN. STRENGTH

LIVELINESS

ENTITY FACTORY

DW LIFECYCLE

DR LIFECYCLE

PRESENTATION

RELIABILITY

PARTITION

DEST. ORDER

RxO QoS Local QoS

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DomainParticipant

DURABILITY

OWENERSHIP

DEADLINE

LATENCY BUDGET

LIVELINESS

RELIABILITY

DEST. ORDER

Publisher

DataWriter

PARTITION

DataReader

Subscriber

DomainParticipant

offered QoS

Topicwrites reads

Domain Idjoins joins

produces-in consumes-from

RxO QoS Policies

requested QoS

For data to flow from a DataWriter (DW) to one or many DataReader (DR) a few conditions have to apply:

The DR and DW domain participants have to be in the same domain

The partition expression of the DR’s Subscriber and the DW’s Publisher should match (in terms of regular expression match)

The QoS Policies offered by the DW should exceed or match those requested by the DR

Quality of Service

device-to-device communication

Latency Constraints

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Support for fine grained access control

Support for Symmetric and Asymmetric Authentication

Standard Authentication, Access Control, Crypto, and Logging plug-in API

Security

Arthur Dent

Arthur Dent

Ford Prerfect

Zaphod Beeblebrox

Marvin

Trillian

A(r,w), B(r)

A(r,w), B(r,w), X(r)

*(r,w)

*(r)

A(r,w), B(r,w), C(r,w)

Ford Prerfect

Zaphod Beeblebrox

Trillian

Marvin

A

B

A,BX

*

*

A,B,C

Identity Access RightsSessions are authenticated and communication is encrypted

Only the Topic included as part of the access rights are visible and accessible

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Boundary security support is enabled by Cloud-Link

Cloud-Link separates security concerns at different scales and also allows to control what information to expose

Boundary Security

Fog Computing Fog Computing

Fog Computing

Device-to-Cloud Communication

Peer-to-Peer (Brokerless)

Device-to-Device Communication

Cloud-LinkCloud-Link

TLS

TLS

Putting it all Together

Vortex device such are used to share data between different kinds of applications within a machine

Café can be used in Android based infotainment

Lite in ECU, sensors and onboard analytics

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

Vortex Fog efficiently and securely deals with car to car communication

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

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

Vortex is the perfect data sharing platform for Connected and Autonomous Vehicle

In Summary

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