RTI Transport Services Segment (TSS) provides a FACE-compliant middleware that enables applications to communicate using the publish-subscribe paradigm over different transports like shared memory, sockets, and custom networks. TSS is built on top of RTI Connext DDS and maps the FACE Transport Services API to DDS, allowing applications to leverage DDS features like reliability, scalability and tools. TSS also supports flexible deployment across partitions and nodes, and has a path to DO-178C Level A certification.
Technical overview of the DDS for Extremely Resource-Constrained Environments (DDS-XRCE) specification.
This specification was adopted by the OMG in March 2018.
Introduced in 2004, the Data Distribution Service (DDS) has been steadily growing in popularity and adoption. Today, DDS is at the heart of a large number of mission and business critical systems, such as, Air Traffic Control and Management, Train Control Systems, Energy Production Systems, Medical Devices, Autonomous Vehicles, Smart Cities and NASA’s Kennedy Space Centre Launch System.
Considered the technological trends toward data-centricity and the rate of adoption, tomorrow, DDS will be at the at the heart of an incredible number of Industrial IoT systems.
To help you become an expert in DDS and exploit your skills in the growing DDS market, we have designed the DDS in Action webcast series. This series is a learning journey through which you will (1) discover the essence of DDS, (2) understand how to effectively exploit DDS to architect and program distributed applications that perform and scale, (3) learn the key DDS programming idioms and architectural patterns, (4) understand how to characterise DDS performances and configure for optimal latency/throughput, (5) grow your system to Internet scale, and (6) secure you DDS system.
DDS is a very powerful technology built around a few simple and orthogonal concepts. If you understand the core concepts then you can really quickly get up to speed and start exploiting all of its power. On the other hand, if you haven’t grasped the key abstractions you might not be able to exploit all the benefits that DDS can bring.
This presentation provides you with an introduction to the core DDS concepts and illustrates how to program DDS applications. The new C++ and Java API will be explained and used throughout the webcast for coding examples thus giving you a chance to learn the new API from one of the main authors!
Even though the U.S. Department of Defense budget is shrinking and the country's military footprint worldwide is receding the need for the warfighter to have accurate and actionable intelligence has never been more critical. Data from Intelligence, Surveillance, and Reconnaissance (C4ISR) systems such as radar, image processing payloads on Unmanned Aerial Vehicles, and more will be used and fused together to provide commanders with real-time situational awareness. Each system will also need to embrace open architectures and the latest commercial standards to meet the DoD's performance, size, and cost requirements. This e-cast will discuss how embedded defense suppliers are meeting these challenges.
Technical overview of the DDS for Extremely Resource-Constrained Environments (DDS-XRCE) specification.
This specification was adopted by the OMG in March 2018.
Introduced in 2004, the Data Distribution Service (DDS) has been steadily growing in popularity and adoption. Today, DDS is at the heart of a large number of mission and business critical systems, such as, Air Traffic Control and Management, Train Control Systems, Energy Production Systems, Medical Devices, Autonomous Vehicles, Smart Cities and NASA’s Kennedy Space Centre Launch System.
Considered the technological trends toward data-centricity and the rate of adoption, tomorrow, DDS will be at the at the heart of an incredible number of Industrial IoT systems.
To help you become an expert in DDS and exploit your skills in the growing DDS market, we have designed the DDS in Action webcast series. This series is a learning journey through which you will (1) discover the essence of DDS, (2) understand how to effectively exploit DDS to architect and program distributed applications that perform and scale, (3) learn the key DDS programming idioms and architectural patterns, (4) understand how to characterise DDS performances and configure for optimal latency/throughput, (5) grow your system to Internet scale, and (6) secure you DDS system.
DDS is a very powerful technology built around a few simple and orthogonal concepts. If you understand the core concepts then you can really quickly get up to speed and start exploiting all of its power. On the other hand, if you haven’t grasped the key abstractions you might not be able to exploit all the benefits that DDS can bring.
This presentation provides you with an introduction to the core DDS concepts and illustrates how to program DDS applications. The new C++ and Java API will be explained and used throughout the webcast for coding examples thus giving you a chance to learn the new API from one of the main authors!
Even though the U.S. Department of Defense budget is shrinking and the country's military footprint worldwide is receding the need for the warfighter to have accurate and actionable intelligence has never been more critical. Data from Intelligence, Surveillance, and Reconnaissance (C4ISR) systems such as radar, image processing payloads on Unmanned Aerial Vehicles, and more will be used and fused together to provide commanders with real-time situational awareness. Each system will also need to embrace open architectures and the latest commercial standards to meet the DoD's performance, size, and cost requirements. This e-cast will discuss how embedded defense suppliers are meeting these challenges.
View On-Demand http://ecast.opensystemsmedia.com/403
Repeat Success, Not Mistakes; Use DDS Best Practices to Design Your Complex Distributed Systems
RTI Connext DDS is a powerful tool that lets you efficiently build and integrate complex distributed systems like no other technology – if you use it right. Be aware of how to get the most out of DDS and how to avoid common pitfalls when developing your system. We've developed RTI Connext best practices over the course of hundreds of customer projects and many years. In this webinar, you will learn how to apply the best practices we have developed to use RTI Connext DDS in ways that will enable your system to scale effectively with optimal performance, while avoiding missteps that will cause poor performance, non-determinism and scalability problems.
Presentation to the Robotics Task Force of the Object Management Group (OMG) introducing the members to the Data Distribution Service (DDS), another OMG-standard technology.
The Data Distribution Service for Real-Time Systems (DDS) is an Object Management Group (OMG) standard for publish/subscribe designed to address the needs of a large class of mission- and business-critical distributed real-time systems and system of systems. The DDS standard was formally adopted in 2004 and in less than five years from its inception has experienced swift adoption in a wide variety of application domains. These application domains are characterized by the need to distribute high volumes of data with predictable low latencies, such as, Radar Processors, Flying and Land Drones, Combat Management Systems, Air Traffic Management, High Performance Telemetry, Large Scale Supervisory Systems, and Automated Stocks and Options Trading. Along with wide commercial adoption, the DDS Standard has been recommended and mandated as the technology for real-time data distribution by key administrations worldwide such as the US Navy, the DoD Information-Technology Standards Registry (DISR), the UK MoD, and EUROCONTROL.
This two-part Tutorial will cover most of the key aspects of DDS to ensure that you can proficiently start using it for designing or developing your next system. In brief this tutorial will get you jump-started into DDS.
Lidar is an acronym for light detection and ranging. It is an optical remote sensing technology that can measure the distance to, or other properties of a target by illuminating the target with light, often using pulses from a laser.
The Data Distribution Service for Real-Time Systems (DDS) is an Object Management Group (OMG) standard for publish/subscribe designed to address the needs of a large class of mission- and business-critical distributed real-time systems and system of systems. The DDS standard was formally adopted in 2004 and in less than five years from its inception has experienced swift adoption in a wide variety of application domains. These application domains are characterized by the need to distribute high volumes of data with predictable low latencies, such as, Radar Processors, Flying and Land Drones, Combat Management Systems, Air Traffic Management, High Performance Telemetry, Large Scale Supervisory Systems, and Automated Stocks and Options Trading. Along with wide commercial adoption, the DDS Standard has been recommended and mandated as the technology for real-time data distribution by key administrations worldwide such as the US Navy, the DoD Information-Technology Standards Registry (DISR), the UK MoD, and EUROCONTROL.
Data-Centric and Message-Centric System ArchitectureRick Warren
Presentation from April, 2010 summarizing the principles of data-centric design and how they apply to DDS technology. Message-centric design is presented by way of contrast.
The Data Distribution Service (DDS) is a standard for efficient and ubiquitous data sharing built upon the concept of a, strongly typed, distributed data space. The ability to scale from resource constrained embedded systems to ultra-large scale distributed systems, has made DDS the technology of choice for applications, such as, Power Generation, Large Scale SCADA, Air Traffic Control and Management, Smart Cities, Smart Grids, Vehicles, Medical Devices, Simulation, Aerospace, Defense and Financial Trading.
This two part webcast provides an in depth introduction to DDS – the universal data sharing technology. Specifically, we will introduce (1) the DDS conceptual model and data-centric design, (2) DDS data modeling fundamentals, (3) the complete set of C++ and Java API, (4) the most important programming, data modeling and QoS Idioms, and (5) the integration between DDS and web applications.
After attending this webcast you will understand how to exploit DDS architectural features when designing your next system, how to write idiomatic DDS applications in C++ and Java and what are the fundamental patterns that you should adopt in your applications.
Slides from the Introduction and Theoretical Foundations of New Media course of the Interactive Media and Knowledge Environments master program (Tallinn University).
The Data Distribution Service (DDS) is a standard for efficient and ubiquitous data sharing built upon the concept of a, strongly typed, distributed data space. The ability to scale from resource constrained embedded systems to ultra-large scale distributed systems, has made DDS the technology of choice for applications, such as, Power Generation, Large Scale SCADA, Air Traffic Control and Management, Smart Cities, Smart Grids, Vehicles, Medical Devices, Simulation, Aerospace, Defense and Financial Trading.
This two part webcast provides an in depth introduction to DDS – the universal data sharing technology. Specifically, we will introduce (1) the DDS conceptual model and data-centric design, (2) DDS data modeling fundamentals, (3) the complete set of C++ and Java API, (4) the most important programming, data modeling and QoS Idioms, and (5) the integration between DDS and web applications.
After attending this webcast you will understand how to exploit DDS architectural features when designing your next system, how to write idiomatic DDS applications in C++ and Java and what are the fundamental patterns that you should adopt in your applications.
This whitepaper focuses on “real-world” systems, that is, systems that interact with the external physical world and must live within the constraints imposed by real-world physics. Good examples include air-traffic control systems, real-time stock trading, command and control (C2) systems, unmanned vehicles, robotic and vetronics, and Supervisory Control and Data Acquisition (SCADA) systems.
More and more these “real-world” systems are integrated using a Data-Centric Publish- Subscribe approach, specifically the programming model defined by the Object Management Group (OMG) Data Distribution Service (DDS) specification.
This whitepaper describes the basic characteristics of real-world systems programming, reasons why DDS is the best standard middleware technology to use to integrate these systems, and a set of “best practices” guidelines that should be applied when using DDS to implement these systems.
View On-Demand http://ecast.opensystemsmedia.com/403
Repeat Success, Not Mistakes; Use DDS Best Practices to Design Your Complex Distributed Systems
RTI Connext DDS is a powerful tool that lets you efficiently build and integrate complex distributed systems like no other technology – if you use it right. Be aware of how to get the most out of DDS and how to avoid common pitfalls when developing your system. We've developed RTI Connext best practices over the course of hundreds of customer projects and many years. In this webinar, you will learn how to apply the best practices we have developed to use RTI Connext DDS in ways that will enable your system to scale effectively with optimal performance, while avoiding missteps that will cause poor performance, non-determinism and scalability problems.
Presentation to the Robotics Task Force of the Object Management Group (OMG) introducing the members to the Data Distribution Service (DDS), another OMG-standard technology.
The Data Distribution Service for Real-Time Systems (DDS) is an Object Management Group (OMG) standard for publish/subscribe designed to address the needs of a large class of mission- and business-critical distributed real-time systems and system of systems. The DDS standard was formally adopted in 2004 and in less than five years from its inception has experienced swift adoption in a wide variety of application domains. These application domains are characterized by the need to distribute high volumes of data with predictable low latencies, such as, Radar Processors, Flying and Land Drones, Combat Management Systems, Air Traffic Management, High Performance Telemetry, Large Scale Supervisory Systems, and Automated Stocks and Options Trading. Along with wide commercial adoption, the DDS Standard has been recommended and mandated as the technology for real-time data distribution by key administrations worldwide such as the US Navy, the DoD Information-Technology Standards Registry (DISR), the UK MoD, and EUROCONTROL.
This two-part Tutorial will cover most of the key aspects of DDS to ensure that you can proficiently start using it for designing or developing your next system. In brief this tutorial will get you jump-started into DDS.
Lidar is an acronym for light detection and ranging. It is an optical remote sensing technology that can measure the distance to, or other properties of a target by illuminating the target with light, often using pulses from a laser.
The Data Distribution Service for Real-Time Systems (DDS) is an Object Management Group (OMG) standard for publish/subscribe designed to address the needs of a large class of mission- and business-critical distributed real-time systems and system of systems. The DDS standard was formally adopted in 2004 and in less than five years from its inception has experienced swift adoption in a wide variety of application domains. These application domains are characterized by the need to distribute high volumes of data with predictable low latencies, such as, Radar Processors, Flying and Land Drones, Combat Management Systems, Air Traffic Management, High Performance Telemetry, Large Scale Supervisory Systems, and Automated Stocks and Options Trading. Along with wide commercial adoption, the DDS Standard has been recommended and mandated as the technology for real-time data distribution by key administrations worldwide such as the US Navy, the DoD Information-Technology Standards Registry (DISR), the UK MoD, and EUROCONTROL.
Data-Centric and Message-Centric System ArchitectureRick Warren
Presentation from April, 2010 summarizing the principles of data-centric design and how they apply to DDS technology. Message-centric design is presented by way of contrast.
The Data Distribution Service (DDS) is a standard for efficient and ubiquitous data sharing built upon the concept of a, strongly typed, distributed data space. The ability to scale from resource constrained embedded systems to ultra-large scale distributed systems, has made DDS the technology of choice for applications, such as, Power Generation, Large Scale SCADA, Air Traffic Control and Management, Smart Cities, Smart Grids, Vehicles, Medical Devices, Simulation, Aerospace, Defense and Financial Trading.
This two part webcast provides an in depth introduction to DDS – the universal data sharing technology. Specifically, we will introduce (1) the DDS conceptual model and data-centric design, (2) DDS data modeling fundamentals, (3) the complete set of C++ and Java API, (4) the most important programming, data modeling and QoS Idioms, and (5) the integration between DDS and web applications.
After attending this webcast you will understand how to exploit DDS architectural features when designing your next system, how to write idiomatic DDS applications in C++ and Java and what are the fundamental patterns that you should adopt in your applications.
Slides from the Introduction and Theoretical Foundations of New Media course of the Interactive Media and Knowledge Environments master program (Tallinn University).
The Data Distribution Service (DDS) is a standard for efficient and ubiquitous data sharing built upon the concept of a, strongly typed, distributed data space. The ability to scale from resource constrained embedded systems to ultra-large scale distributed systems, has made DDS the technology of choice for applications, such as, Power Generation, Large Scale SCADA, Air Traffic Control and Management, Smart Cities, Smart Grids, Vehicles, Medical Devices, Simulation, Aerospace, Defense and Financial Trading.
This two part webcast provides an in depth introduction to DDS – the universal data sharing technology. Specifically, we will introduce (1) the DDS conceptual model and data-centric design, (2) DDS data modeling fundamentals, (3) the complete set of C++ and Java API, (4) the most important programming, data modeling and QoS Idioms, and (5) the integration between DDS and web applications.
After attending this webcast you will understand how to exploit DDS architectural features when designing your next system, how to write idiomatic DDS applications in C++ and Java and what are the fundamental patterns that you should adopt in your applications.
This whitepaper focuses on “real-world” systems, that is, systems that interact with the external physical world and must live within the constraints imposed by real-world physics. Good examples include air-traffic control systems, real-time stock trading, command and control (C2) systems, unmanned vehicles, robotic and vetronics, and Supervisory Control and Data Acquisition (SCADA) systems.
More and more these “real-world” systems are integrated using a Data-Centric Publish- Subscribe approach, specifically the programming model defined by the Object Management Group (OMG) Data Distribution Service (DDS) specification.
This whitepaper describes the basic characteristics of real-world systems programming, reasons why DDS is the best standard middleware technology to use to integrate these systems, and a set of “best practices” guidelines that should be applied when using DDS to implement these systems.
How to connect FIWARE to Robots ? We discuss how the FIWARE enablers can connect to ROS2, a de facto standard for robotic frameworks, using Fast RTPS and KIARA.
Introduction to DDS: Context, Information Model, Security, and Applications.Gerardo Pardo-Castellote
Introduction to the Data-Distribution Service (DDS): Context and Applications.
This 50 minute presentation summarizes the main features of DDS including the information model, the type system, and security as well as how typical applications use DDS.
It was presented at the Canadian Government Information Day in Ottawa on September 2018.
There is also a video of this presentation at https://www.youtube.com/watch?v=6iICap5G7rw.
Four Keys to Securing Distributed Control Systems and the Industrial IoT
Originally aired November 13, 2014
View On-Demand now: http://event.on24.com/r.htm?e=879027&s=1&k=F51E9DE70EB5A3BA7A0ECB9FB2CFCB66&partnerref=rti
Control systems are at the core of critical infrastructure and industrial applications. These include the power grid, medical devices, manufacturing systems, transportation infrastructure, cars and defense systems.
Because of their essential role and the value of the information they exchange, these systems must be protected from both espionage and sabotage. This is becoming even more imperative as the enabling devices are increasingly connected into the Industrial Internet of Things to improve efficiency and availability.
Securing control systems is particularly challenging because security cannot come at the expense of other fundamental requirements, including reliability, real-time performance, autonomy and interoperability.
This webinar will introduce the new Data Distribution Service (DDS) Security standard, the first standard designed to address security for mission-critical real-time systems. It will review how the DDS standard provides authentication, confidentiality and access control while still satisfying demanding reliability and performance requirements. It will also show how DDS Security can be easily incorporated into existing systems regardless of whether or not they already use DDS.
Speaker: David Barnett, Vice President of Products and Markets
Speaker: Atul Kshirsagar, GE Software
To learn more about Pivotal Cloud Foundry, visit http://www.pivotal.io/platform-as-a-service/pivotal-cloud-foundry.
Fiware - communicating with ROS robots using Fast RTPSJaime Martin Losa
How to connect FIWARE to Robots ? We discuss how the FIWARE enablers can connect to ROS2, a de facto standard for robotic frameworks, using Fast RTPS and KIARA.
Multiple protocols have been positioned as “the” application-layer messaging protocol for the Internet of Things (IoT) and Machine-to-Machine (M2M) communication. In fact, these protocols address different aspects of IoT messaging and are complementary more than competitive (other than for mindshare). This presentation compares two of these protocols, MQTT and DDS, and shows how they are designed and optimized for different communication requirements.
Enabling the Deployment of Edge Services with the Open Network Edge Services ...Liz Warner
The Open Network Edge Services Toolkit (OpenNESS) is an open-source software toolkit for the enablement of orchestration and management of edge services on a diverse range of platforms. This talk will present the problem statement that OpenNESS aims to solve, the use-cases in which OpenNESS can be deployed, and a top-level description of its architecture.
Real-Time Innovations (RTI) is the largest software framework provider for smart machines and real-world systems. The company’s RTI Connext® product enables intelligent architecture by sharing information in real-time, making large applications work together as one.
Originally presented on April 11, 2017
Watch on-demand: https://event.on24.com/eventRegistration/EventLobbyServlet?target=reg20.jsp&referrer=&eventid=1383298&sessionid=1&key=96B34B2E00F5FAA33C2957FE29D84624®Tag=&sourcepage=register
By John Breitenbach, RTI Field Applications Engineer
Contents
Introduction to RTI
Introduction to Data Distribution Service (DDS)
DDS Secure
Connext DDS Professional
Real-World Use Cases
RTI Professional Services
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
RTI Support for FACE TSS
1. Your systems. Working as one.Your systems. Working as one.
RTI Support for FACE
Bill Antypas
June 20, 2013
2. RTI Transport Services Segment (TSS)
2
DDS-RTPS wire
protocol compliant:
interoperable with
non-FACE DDS apps
Publish/subscribe
paradigm*
Physical connection(s)
configurable at
integration time
*Will likely support additional
paradigms in future
3. Core Architecture
Built on Standard and Open Interfaces
PCS
Component
PCS
Component
PSS
Component
RTI Connext DDS
Core, Messaging, Micro or Cert
PSS
Component
FACE Security Profile
Transport Services API to DDS Mapping
3
Intra-
proces
s
Shared
memor
y
ARINC
Ports
Sockets
Other/
Custom
RTITransportServicesSegment
FACE Transport
Services (TS) API
FACE Security
Profile
RTI transport
API
OMG DDS API
DDS-RTPS
protocol
Pluggable
transports
4. Optimized, Location-Independent
Communication
• Physical transport(s) configurable at integration time
• Applications can use multiple transports concurrently
• Transport(s) configured per application
4
Transport Use
Intra-process Within the same address space (process)
Shared memory Between processes in the same partition
ARINC ports Within a node; within or between partitions
Sockets
(UDP unicast or multicast)
Within or between nodes, including over
Ethernet
Low-bandwidth Over satellite or radio links (no IP requirement)
Custom Over custom networks or busses (via plug-in API)
7. Level E
Partition
Up to Level A Partition
RTI Routing Service:
Transport and Network Routing
• Component of RTI Connext Integrator
• Deployable in uncertified systems or Level E partitions
• Also supports data transformations, protocol mediation
7
UoP UoP
ARINC Ports
RTI TSS RTI TSS
UoP
Node Non-Critical
Node or
Partition
UoP
Non-Critical
Node or
Partition
RTI TSS
Bus/Network
Routing
Service
RTI TSS
8. Level E
Partition
Up to Level A Partition
RTI Routing Service:
Transport and Network Bridging
8
UoP UoP
ARINC Ports
RTI TSS RTI TSS
Node
Routing
Service
Up to Level A Partition
UoP UoP
RTI TSS RTI TSS
Node
Level E
Partition
Bus/Network
ARINC Ports
Routing
Service
9. Airborne System
Airborne System
Flexible Integration
Including TSS and
Native DDS Apps
9
FACE
UoP
FACE
UoP
Local Communication
RTI TSS RTI TSS
Routing
Service
FACE
UoP
FACE
UoP
Local Communication
RTI TSS RTI TSS
Routing
Service
DDS
App
DDS
App
Local Communication
RTI DDS RTI DDS
Routing
Service
Ground System
10. DDS Natively Supports FACE Data Model
• FACE messages are strongly typed
• OMG IDL used by FACE Platform Data Model & DDS
– FACE messages must conform to IDLlanguage mapping
– Apps can use mappings generated by RTI’s IDL compiler
• DDS natively understands data
– Type safety
– Heterogeneous interoperability (languages, CPUs)
– Wire efficiency (minimizes metadata)
– Enables middleware-level filtering (including at source)
– Eases integration (explicit interfaces)
10
FACE Platform
Data Model
RTI IDL
Compiler
C
C++
Java
Ada
Include in
application
source
11. Supports DDS QoS
• Messaging reliability: Best Effort and Reliable
• Optional durability maintains consistent state
– Last value(s) persisted by publisher
– Available to late- and re-joining subscribers
– History depth configurable on pub and sub sides
• Automatic failover: Ownership and Strength
• Send/receive cache resource configuration
11
12. Certification Path
• Thin layer over DDS
– Currently <2K ELOC
• Compatible with Connext DDS Cert
– DO-178C Level A certifiable
– Evaluation in progress
– ~20K Executable Lines Of Code (ELOC)
– Small memory footprint: ~200 KB library
– Low CPU load: <10% at 30 HZ update rate
12
13. Planned FACE Profile Support
Security Safety Base Safety Extended General Purpose
RTI TSS ✔ ✔ ✔ ✔
RTI Connext DDS
Cert ✔ ✔ ✔ ✔
Micro ✔ ✔
Core ✔
Messaging ✔
RTI Routing Service ✔
13
14. Tools Support
• RTI Analyzer
• RTI Monitor*
• RTI Recording Service
• RTI Excel Add-in
• Wireshark
• National Instruments LabView
• The Mathworks Simulink and MATLAB
14
*Currently supported for Connext DDS Core and Connext DDS Messaging
With pub/sub paradigm: tools are non- or minimally-intrusive, application transparent
15. Summary of RTI TSS Benefits
• Proximity and physical transport independence
• Flexible communication
– 11, 1many, many1, manymany
• Routing and federation
• Interoperability with non-FACE apps
– Peer-to-peer with DDS apps
– Via Connext Integrator for non-DDS apps
• Optimized support for FACE data model
• Rich Quality of Service
• Expeditious path to DO-178C Level A certification
• Tooling
15
16. Available Now
• Early Access Release (EAR)
• Based on FACE Technical Standard 2.0
• Complete implementation of C lang TS API
• Portable source code
• No charge for TSS
• Requires license to Connext DDS edition
16
17. C AppJava App
Joint Demo
RTI Connext
DDS Micro
RTI FACE Transport Service Segment
DDS-RTPS Wire Interoperability Protocol
17
ARM CPU PowerPC CPU
VxWorks 653
RTI Connext DDS Messaging
Android OS