View On Demand: http://ecast.opensystemsmedia.com/375
Top Three Reasons to Develop Your Next Distributed Application with DDS
Developing applications that can run over multiple cores, nodes or networks typically requires a significant amount of network-level programming. This low-level coding detracts from the implementation of application logic, introduces complexity, and is hard to maintain as requirements evolve and systems grow in scale. The challenges are particularly acute for real-time and embedded systems, which often have to address stringent timing, resource and reliability constraints.
Just as high-level programming languages and operating systems simplified application development by eliminating hardware dependencies, the Data Distribution Service (DDS) standard does the same for networking. DDS provides application developers with simple publish-subscribe programming interfaces that abstract out all the networking details. Application components simply publish the data they produce and subscribe to the data they consume. The DDS middleware handles all the networking and real-time Quality of Service details. Components can seamlessly communicate across different programming languages and processor families. Applications are also independent of the underlying transport protocol and network type, be it shared memory, a local area network, wide area network or even radio link.
Standardizing the Data Distribution Service (DDS) API for Modern C++Sumant Tambe
The document discusses the Data Distribution Service (DDS) standard for connecting distributed real-time systems. DDS provides a data-centric publish-subscribe model and quality of service guarantees for integrating sensors, actuators and applications. It describes the key DDS entities including DomainParticipants, Topics, DataWriters and DataReaders. Code examples are given for writing and reading data using the DDS standard.
The document discusses middleware technologies and provides an overview of the Data Distribution Service (DDS) model and its applicability. It begins by explaining how middleware abstracts common interaction patterns and network middleware in particular. It then contrasts different communication models used in middleware like point-to-point, client-server, publish-subscribe messaging, and replicated data. The document dives deeper into comparing request-response with pub-sub/messaging/data distribution and explaining the differences between message queues and publish-subscribe. Finally, it outlines the DDS service model and how it provides a global data space that is accessible to all interested applications through subscriptions that are decoupled from publishers.
DDS Advanced Tutorial - OMG June 2013 Berlin MeetingJaime Martin Losa
An extended, in-depth tutorial explaining how to fully exploit the standard's unique communication capabilities.Presented at the OMG June 2013 Berlin Meeting.
Users upgrading to DDS from a homegrown solution or a legacy-messaging infrastructure often limit themselves to using its most basic publish-subscribe features. This allows applications to take advantage of reliable multicast and other performance and scalability features of the DDS wire protocol, as well as the enhanced robustness of the DDS peer-to-peer architecture. However, applications that do not use DDS's data-centricity do not take advantage of many of its QoS-related, scalability and availability features, such as the KeepLast History Cache, Instance Ownership and Deadline Monitoring. As a consequence some developers duplicate these features in custom application code, resulting in increased costs, lower performance, and compromised portability and interoperability.
This tutorial will formally define the data-centric publish-subscribe model as specified in the OMG DDS specification and define a set of best-practice guidelines and patterns for the design and implementation of systems based on DDS.
The document introduces the Object Management Group's Data Distribution Service (OMG DDS) middleware specification. It describes how DDS provides a standard for integrating real-time systems that must interact with the external environment. It addresses the challenges of integrating large, complex systems with increasing data volumes and speeds from multiple sources. DDS uses a data-centric approach based on a shared data model to loosely couple applications and reduce integration complexity. It has seen broad adoption across industries and is mandated for several Department of Defense programs.
DDS over Low Bandwidth Data Links - Connext Conf London October 2014Jaime Martin Losa
DDS (Data Distribution Service) over Low Bandwidth Data Links: Tactical Radios, Satellite, etc.
DDS implementations are widely used in defense and aerospace applications, being common to use very low bandwitdh data links.
This presentation explain how to achieve good performance in these scenarios.
This presentation introduces the key concepts at the foundation of DDS, the data distribution service for real-time systems. Wether you are a new to DDS or a relatively experienced user, you'll find this presentation a good source of information.
The document summarizes the evolution of the Data Distribution Service (DDS) standard from 2004 to 2011, highlighting major releases that expanded its capabilities. Key points include:
- The 2004 standard introduced the DDS API and interoperable wire protocol.
- Later versions added features like dynamic discovery, filtering, and a high performance wire protocol.
- Programming language bindings were added for C++ and Java.
- Extensions improved type flexibility and modeling.
- 2011 saw the introduction of Web-DDS for accessing DDS through web technologies.
Standardizing the Data Distribution Service (DDS) API for Modern C++Sumant Tambe
The document discusses the Data Distribution Service (DDS) standard for connecting distributed real-time systems. DDS provides a data-centric publish-subscribe model and quality of service guarantees for integrating sensors, actuators and applications. It describes the key DDS entities including DomainParticipants, Topics, DataWriters and DataReaders. Code examples are given for writing and reading data using the DDS standard.
The document discusses middleware technologies and provides an overview of the Data Distribution Service (DDS) model and its applicability. It begins by explaining how middleware abstracts common interaction patterns and network middleware in particular. It then contrasts different communication models used in middleware like point-to-point, client-server, publish-subscribe messaging, and replicated data. The document dives deeper into comparing request-response with pub-sub/messaging/data distribution and explaining the differences between message queues and publish-subscribe. Finally, it outlines the DDS service model and how it provides a global data space that is accessible to all interested applications through subscriptions that are decoupled from publishers.
DDS Advanced Tutorial - OMG June 2013 Berlin MeetingJaime Martin Losa
An extended, in-depth tutorial explaining how to fully exploit the standard's unique communication capabilities.Presented at the OMG June 2013 Berlin Meeting.
Users upgrading to DDS from a homegrown solution or a legacy-messaging infrastructure often limit themselves to using its most basic publish-subscribe features. This allows applications to take advantage of reliable multicast and other performance and scalability features of the DDS wire protocol, as well as the enhanced robustness of the DDS peer-to-peer architecture. However, applications that do not use DDS's data-centricity do not take advantage of many of its QoS-related, scalability and availability features, such as the KeepLast History Cache, Instance Ownership and Deadline Monitoring. As a consequence some developers duplicate these features in custom application code, resulting in increased costs, lower performance, and compromised portability and interoperability.
This tutorial will formally define the data-centric publish-subscribe model as specified in the OMG DDS specification and define a set of best-practice guidelines and patterns for the design and implementation of systems based on DDS.
The document introduces the Object Management Group's Data Distribution Service (OMG DDS) middleware specification. It describes how DDS provides a standard for integrating real-time systems that must interact with the external environment. It addresses the challenges of integrating large, complex systems with increasing data volumes and speeds from multiple sources. DDS uses a data-centric approach based on a shared data model to loosely couple applications and reduce integration complexity. It has seen broad adoption across industries and is mandated for several Department of Defense programs.
DDS over Low Bandwidth Data Links - Connext Conf London October 2014Jaime Martin Losa
DDS (Data Distribution Service) over Low Bandwidth Data Links: Tactical Radios, Satellite, etc.
DDS implementations are widely used in defense and aerospace applications, being common to use very low bandwitdh data links.
This presentation explain how to achieve good performance in these scenarios.
This presentation introduces the key concepts at the foundation of DDS, the data distribution service for real-time systems. Wether you are a new to DDS or a relatively experienced user, you'll find this presentation a good source of information.
The document summarizes the evolution of the Data Distribution Service (DDS) standard from 2004 to 2011, highlighting major releases that expanded its capabilities. Key points include:
- The 2004 standard introduced the DDS API and interoperable wire protocol.
- Later versions added features like dynamic discovery, filtering, and a high performance wire protocol.
- Programming language bindings were added for C++ and Java.
- Extensions improved type flexibility and modeling.
- 2011 saw the introduction of Web-DDS for accessing DDS through web technologies.
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.
HDFS Futures: NameNode Federation for Improved Efficiency and ScalabilityHortonworks
Scalability of the NameNode has been a key issue for HDFS clusters. Because the entire file system metadata is stored in memory on a single NameNode, and all metadata operations are processed on this single system, the NameNode both limits the growth in size of the cluster and makes the NameService a bottleneck for the MapReduce framework as demand increases. HDFS Federation horizontally scales the NameService using multiple federated NameNodes/namespaces. The federated NameNodes share the DataNodes in the cluster as a common storage layer. HDFS Federation also adds client-side namespaces to provide a unified view of the file system. In this talk, Hortonworks co-founder and key architect, Sanjay Raidia, will discuss the benefits, features and best practices for implementing HDFS Federation.
This presentation provides an overview of the DDS technology describing the latest addition to the standard family as well as providing an outlook of what will be next.
The OMG DDS (Data Distribution Service) is a standard for data
distribution which is widely used as the foundation for operational
systems such as air traffic control and management, combat systems,
distributed telemetry and control, etc. On the other hand, HLA (High
Level Architecture) is a communication and coordination standard which
is widely adopted in the distributed simulation community.
DDS is increasingly gaining adoption in distributed simulation,
especially for those systems that require high throughput, low
latencies and scalability. In addition, the use of DDS in simulation
provides native interoperability between operational and simulated
systems, thus eliminating integration overhead and complexities.
This presentation introduces DDS and HLA, provide an apple-to-apple
comparison between the two standards and show how DDS and HLA systems
can be seamlessly integrated together.
What are the issues integration in integrating sensor nets and other distributed systems collecting and sharing real time data? How does RTI's Data Distribution Service address the integration needs without sacrificing the real-time collaboration constraints?
This document outlines a specification for adding security features to the Data Distribution Service (DDS) protocol. It discusses the status of the specification, scope of security features, potential threats, and requirements from a request for proposals. The specification will define security plugins for authentication, access control, cryptography, data tagging, and data logging to address threats like unauthorized data access, tampering, and insider threats. It also describes the security model and how DDS and RTPS protocols will support integrated security capabilities.
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.
This document discusses proposed revisions to ISO 18000-7 referred to as Mode 2. Key proposed changes include improvements to the physical layer to improve performance and reduce costs, improvements to the medium access control layer for better channel efficiency, and additions to allow for peer-to-peer communications and unsolicited packet transmissions. The revised standard would support features like decreased device size, external communication events, amorphous networks, and longer reading ranges.
Getting Started with DDS in C++, Java and ScalaAngelo Corsaro
This document provides an overview and outline for a tutorial on getting started with the Data Distribution Service (DDS) in C++, Java, and Scala. The tutorial will cover DDS basics, data reader/writer caches, quality of service, data and state selectors, and advanced DDS topics. Upon completion, students will have a firm understanding of DDS concepts and the ability to design and write DDS applications. The tutorial will be highly interactive with examples and live demonstrations.
Open-E DSS Synchronous Volume Replication over a WANopen-e
This document provides a step-by-step guide to setting up synchronous volume replication over a WAN between two systems using Open-E DSS. It requires configuring hardware including two servers connected over a WAN. It then outlines 6 steps to set up the replication including 1) hardware configuration, 2) configuring DSS servers on the WAN, 3) configuring the destination node, 4) configuring the source node, 5) creating the replication task, and 6) checking replication status. Diagrams and explanations of each step in the configuration process are provided.
ASPLOS2011 workshop RESoLVE "Effect of Disk Prefetching of Guest OS "Kuniyasu Suzaki
1) Disk prefetching techniques in guest operating systems may not work well for virtual storage devices due to restrictions of virtual devices.
2) The document proposes adjusting the guest OS behavior to recognize virtual device features, such as increasing data locality to improve storage deduplication performance.
3) An evaluation shows that reorganizing data blocks with a tool called "ext-optimizer" based on access profiles can increase occupancy for deduplicated storage and improve performance of disk prefetching for a guest OS booting on virtualized storage.
Big data refers to large and complex datasets that are difficult to process using traditional methods. Key challenges include capturing, storing, searching, sharing, and analyzing large datasets in domains like meteorology, physics simulations, biology, and the internet. Hadoop is an open-source software framework for distributed storage and processing of big data across clusters of computers. It allows for the distributed processing of large data sets in a reliable, fault-tolerant and scalable manner.
DNSSEC: What a Registrar Needs to Knowlaurenrprice
The document summarizes an upcoming webinar on DNSSEC hosted by .ORG, The Public Interest Registry and Afilias. The webinar will provide an introduction to DNSSEC including how it adds security and authentication to the Domain Name System to prevent forged DNS data. It will also discuss PIR's implementation timeline and test program for DNSSEC in the .ORG top-level domain.
Hadoop World 2011: HDFS Federation - Suresh Srinivas, HortonworksCloudera, Inc.
Scalability of the NameNode has been a key issue for HDFS clusters. Because the entire file system metadata is stored in memory on a single NameNode, and all metadata operations are processed on this single system, the NameNode both limits the growth in size of the cluster and makes the NameService a bottleneck for the MapReduce framework as demand increases. This presentation will describe the features and implementation of HDFS Federation scheduled for release with Hadoop-0.23.
Tuning and Troubleshooting OpenSplice DDS ApplicationsAngelo Corsaro
The document provides an overview of common issues encountered when building distributed applications with OpenSplice DDS, such as connectivity, performance, scalability, and resource utilization issues. It discusses how to diagnose these issues using OpenSplice DDS tools and configure QoS policies, deployment options, shared memory size, topic types and keys to address the issues.
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.
This document provides a summary of a masterclass on building distributed real-time systems using the Data Distribution Service (DDS). The class covers DDS concepts and technology, including runtime services, development tools, and standards. It discusses how DDS enables a data-centric model and global data space to support high-performance, scalable, and reliable real-time systems that interact directly with the physical world.
Hadoop World 2011: Sherpasurfing - Wayne WheelesCloudera, Inc.
Consider this - each day, billions of packets both benign and some malicious flow in and out of networks. The ability to survive the sheer volume of data, bring the NETFLOW data to rest, enrich it, correlate it and perform analysis is essential tasks of the modern Defensive Cyber Security Organization. SHERPASURFING is an open source platform built on the proven Cloudera stack enabling organizations to perform the Cyber Security mission at scale at an affordable price point. This session will include an overview of the solution, presentation of components and a demonstration of analytics.
This document discusses the Data Distribution Service (DDS) and how it provides a data sharing abstraction for building distributed systems. DDS implements a fully distributed tuple space, allowing applications to share information through the publication and subscription of data topics. It provides location transparency, anonymity, temporal decoupling and other benefits over traditional messaging approaches. The document demonstrates how to build a basic DDS application by creating a domain participant, topics, publishers, writers and readers to share data between distributed applications.
Integrating Apple Macs Using Novell TechnologiesNovell
Apple Macs continue to increase in popularity and make up an increasingly large percentage of enterprise desktops. In this session, we'll explore the various Novell products and technologies that can be used to integrate Macs into your environment. You'll leave with a clear understanding of the issues involved and the options available to support the Mac user community in a Novell environment. You'll also have a chance to discuss suggestions for improving on this support.
A Distributed Application Execution System for an Infrastructure with Dynamic...Ryousei Takano
Este documento describe un sistema para la ejecución distribuida de aplicaciones en una infraestructura con redes configuradas dinámicamente. El sistema construye de forma automática un entorno de ejecución de aplicaciones distribuidas mediante la asignación de contenedores y rutas de red configuradas dinámicamente. El sistema implementa una "contextualización consciente de slices" que configura cada contenedor con la dirección IP, nombre de host y claves SSH adecuadas. La evaluación muestra que un slice puede establecerse en un segundo aprovechando la virtual
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.
HDFS Futures: NameNode Federation for Improved Efficiency and ScalabilityHortonworks
Scalability of the NameNode has been a key issue for HDFS clusters. Because the entire file system metadata is stored in memory on a single NameNode, and all metadata operations are processed on this single system, the NameNode both limits the growth in size of the cluster and makes the NameService a bottleneck for the MapReduce framework as demand increases. HDFS Federation horizontally scales the NameService using multiple federated NameNodes/namespaces. The federated NameNodes share the DataNodes in the cluster as a common storage layer. HDFS Federation also adds client-side namespaces to provide a unified view of the file system. In this talk, Hortonworks co-founder and key architect, Sanjay Raidia, will discuss the benefits, features and best practices for implementing HDFS Federation.
This presentation provides an overview of the DDS technology describing the latest addition to the standard family as well as providing an outlook of what will be next.
The OMG DDS (Data Distribution Service) is a standard for data
distribution which is widely used as the foundation for operational
systems such as air traffic control and management, combat systems,
distributed telemetry and control, etc. On the other hand, HLA (High
Level Architecture) is a communication and coordination standard which
is widely adopted in the distributed simulation community.
DDS is increasingly gaining adoption in distributed simulation,
especially for those systems that require high throughput, low
latencies and scalability. In addition, the use of DDS in simulation
provides native interoperability between operational and simulated
systems, thus eliminating integration overhead and complexities.
This presentation introduces DDS and HLA, provide an apple-to-apple
comparison between the two standards and show how DDS and HLA systems
can be seamlessly integrated together.
What are the issues integration in integrating sensor nets and other distributed systems collecting and sharing real time data? How does RTI's Data Distribution Service address the integration needs without sacrificing the real-time collaboration constraints?
This document outlines a specification for adding security features to the Data Distribution Service (DDS) protocol. It discusses the status of the specification, scope of security features, potential threats, and requirements from a request for proposals. The specification will define security plugins for authentication, access control, cryptography, data tagging, and data logging to address threats like unauthorized data access, tampering, and insider threats. It also describes the security model and how DDS and RTPS protocols will support integrated security capabilities.
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.
This document discusses proposed revisions to ISO 18000-7 referred to as Mode 2. Key proposed changes include improvements to the physical layer to improve performance and reduce costs, improvements to the medium access control layer for better channel efficiency, and additions to allow for peer-to-peer communications and unsolicited packet transmissions. The revised standard would support features like decreased device size, external communication events, amorphous networks, and longer reading ranges.
Getting Started with DDS in C++, Java and ScalaAngelo Corsaro
This document provides an overview and outline for a tutorial on getting started with the Data Distribution Service (DDS) in C++, Java, and Scala. The tutorial will cover DDS basics, data reader/writer caches, quality of service, data and state selectors, and advanced DDS topics. Upon completion, students will have a firm understanding of DDS concepts and the ability to design and write DDS applications. The tutorial will be highly interactive with examples and live demonstrations.
Open-E DSS Synchronous Volume Replication over a WANopen-e
This document provides a step-by-step guide to setting up synchronous volume replication over a WAN between two systems using Open-E DSS. It requires configuring hardware including two servers connected over a WAN. It then outlines 6 steps to set up the replication including 1) hardware configuration, 2) configuring DSS servers on the WAN, 3) configuring the destination node, 4) configuring the source node, 5) creating the replication task, and 6) checking replication status. Diagrams and explanations of each step in the configuration process are provided.
ASPLOS2011 workshop RESoLVE "Effect of Disk Prefetching of Guest OS "Kuniyasu Suzaki
1) Disk prefetching techniques in guest operating systems may not work well for virtual storage devices due to restrictions of virtual devices.
2) The document proposes adjusting the guest OS behavior to recognize virtual device features, such as increasing data locality to improve storage deduplication performance.
3) An evaluation shows that reorganizing data blocks with a tool called "ext-optimizer" based on access profiles can increase occupancy for deduplicated storage and improve performance of disk prefetching for a guest OS booting on virtualized storage.
Big data refers to large and complex datasets that are difficult to process using traditional methods. Key challenges include capturing, storing, searching, sharing, and analyzing large datasets in domains like meteorology, physics simulations, biology, and the internet. Hadoop is an open-source software framework for distributed storage and processing of big data across clusters of computers. It allows for the distributed processing of large data sets in a reliable, fault-tolerant and scalable manner.
DNSSEC: What a Registrar Needs to Knowlaurenrprice
The document summarizes an upcoming webinar on DNSSEC hosted by .ORG, The Public Interest Registry and Afilias. The webinar will provide an introduction to DNSSEC including how it adds security and authentication to the Domain Name System to prevent forged DNS data. It will also discuss PIR's implementation timeline and test program for DNSSEC in the .ORG top-level domain.
Hadoop World 2011: HDFS Federation - Suresh Srinivas, HortonworksCloudera, Inc.
Scalability of the NameNode has been a key issue for HDFS clusters. Because the entire file system metadata is stored in memory on a single NameNode, and all metadata operations are processed on this single system, the NameNode both limits the growth in size of the cluster and makes the NameService a bottleneck for the MapReduce framework as demand increases. This presentation will describe the features and implementation of HDFS Federation scheduled for release with Hadoop-0.23.
Tuning and Troubleshooting OpenSplice DDS ApplicationsAngelo Corsaro
The document provides an overview of common issues encountered when building distributed applications with OpenSplice DDS, such as connectivity, performance, scalability, and resource utilization issues. It discusses how to diagnose these issues using OpenSplice DDS tools and configure QoS policies, deployment options, shared memory size, topic types and keys to address the issues.
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.
This document provides a summary of a masterclass on building distributed real-time systems using the Data Distribution Service (DDS). The class covers DDS concepts and technology, including runtime services, development tools, and standards. It discusses how DDS enables a data-centric model and global data space to support high-performance, scalable, and reliable real-time systems that interact directly with the physical world.
Hadoop World 2011: Sherpasurfing - Wayne WheelesCloudera, Inc.
Consider this - each day, billions of packets both benign and some malicious flow in and out of networks. The ability to survive the sheer volume of data, bring the NETFLOW data to rest, enrich it, correlate it and perform analysis is essential tasks of the modern Defensive Cyber Security Organization. SHERPASURFING is an open source platform built on the proven Cloudera stack enabling organizations to perform the Cyber Security mission at scale at an affordable price point. This session will include an overview of the solution, presentation of components and a demonstration of analytics.
This document discusses the Data Distribution Service (DDS) and how it provides a data sharing abstraction for building distributed systems. DDS implements a fully distributed tuple space, allowing applications to share information through the publication and subscription of data topics. It provides location transparency, anonymity, temporal decoupling and other benefits over traditional messaging approaches. The document demonstrates how to build a basic DDS application by creating a domain participant, topics, publishers, writers and readers to share data between distributed applications.
Integrating Apple Macs Using Novell TechnologiesNovell
Apple Macs continue to increase in popularity and make up an increasingly large percentage of enterprise desktops. In this session, we'll explore the various Novell products and technologies that can be used to integrate Macs into your environment. You'll leave with a clear understanding of the issues involved and the options available to support the Mac user community in a Novell environment. You'll also have a chance to discuss suggestions for improving on this support.
A Distributed Application Execution System for an Infrastructure with Dynamic...Ryousei Takano
Este documento describe un sistema para la ejecución distribuida de aplicaciones en una infraestructura con redes configuradas dinámicamente. El sistema construye de forma automática un entorno de ejecución de aplicaciones distribuidas mediante la asignación de contenedores y rutas de red configuradas dinámicamente. El sistema implementa una "contextualización consciente de slices" que configura cada contenedor con la dirección IP, nombre de host y claves SSH adecuadas. La evaluación muestra que un slice puede establecerse en un segundo aprovechando la virtual
Simply we can say that the Distribution System is a collection of independent computers connected by a
computer network that appear to the user as a single computer.
Today it helps to develop the information technology and modern technic of internet. This is more
powerful than personal systems and the cost will be reduced. The machines which are in distributed
system are not sharing memory, instead of that they share messages between them. The users who are
connected with the Distributed System are enabled to share resources, hardware, software and other
data. That is very useful for the persons in every position in organizations.
Distributed systems allow autonomous computers to communicate and cooperate over various communication lines. A distributed operating system provides transparency and facilitates sharing and access of remote resources. Real-time systems must process within defined time constraints or fail. They prioritize quick event response over user convenience. Real-time operating systems rely on policies like meeting scheduling deadlines.
Distributed computing system is a collection of interconnected computers that appear as a single system. There are two types of computer architectures for distributed systems - tightly coupled and loosely coupled. In tightly coupled systems, processors share a single memory while in loosely coupled systems, processors have their own local memory and communicate through message passing. Distributed systems provide advantages like better price-performance ratio, resource sharing, reliability, and scalability but also introduce challenges around transparency, communication, performance, heterogeneity, and fault tolerance.
This document discusses distributed systems applications in real life, including three key areas: distributed rendering in computer graphics, peer-to-peer networks, and massively multiplayer online gaming. It describes how distributed rendering parallelizes graphics processing across multiple computers. Peer-to-peer networks are defined as decentralized networks where nodes act as both suppliers and consumers of resources. Examples of peer-to-peer applications include file sharing and content delivery networks. The document also outlines the challenges of designing multiplayer online games using a distributed architecture rather than a traditional client-server model.
This document summarizes distributed computing. It discusses the history and origins of distributed computing in the 1960s with concurrent processes communicating through message passing. It describes how distributed computing works by splitting a program into parts that run simultaneously on multiple networked computers. Examples of distributed systems include telecommunication networks, network applications, real-time process control systems, and parallel scientific computing. The advantages of distributed computing include economics, speed, reliability, and scalability while the disadvantages include complexity and network problems.
This document is a presentation about distributed systems by Paulo Gandra de Sousa for their Master's degree program at DEI/ISEP. It introduces the topic of distributed systems, defining them and discussing their characterization including motivations, pros and cons, and issues. The presentation also acknowledges sources that parts of the content are drawn from.
Distributed systems allow independent computers to appear as a single coherent system by connecting them through a middleware layer. They provide advantages like increased reliability, scalability, and sharing of resources. Key goals of distributed systems include resource sharing, openness, transparency, and concurrency. Common types are distributed computing systems, distributed information systems, and distributed pervasive systems.
Unit 1 architecture of distributed systemskaran2190
The document discusses the architecture of distributed systems. It describes several models for distributed system architecture including:
1) The mini computer model which connects multiple minicomputers to share resources among users.
2) The workstation model where each user has their own workstation and resources are shared over a network.
3) The workstation-server model combines workstations with centralized servers to manage shared resources like files.
DDS, JMS, REST APIs
Data-Centric Publish/Subscribe
Pluggable Discovery
Reliability, Serialization, Transport
Persistence Service
Monitoring, Logging, Replay
Connext Messaging adds:
- Request/reply
- Guaranteed messaging
- JMS API
- Persistence
- Additional transports
- Security
- Future: REST API
It is built on top of Connext DDS for data distribution.
<XML>
Fast RTPS is a C++ implementation of the RTPS protocol that provides middleware for robotics applications adopted in ROS2. It enables real-time data distribution with support for large data, security, and interoperability across platforms. A hello world example demonstrates how to define a data type, generate code, create a publisher-subscriber solution in Visual Studio, and run the programs to send and receive messages.
View On-Demand :
http://ecast.opensystemsmedia.com/340
As distributed system scale up, so does their integration time and cost. This integration challenge is particularly acute for real-time and intelligent systems: increased connectivity cannot come at the expense of performance, reliability or resource consumption.
Adopting an inherently scalable architecture is the secret to agilely and affordably building systems that encompass ever more applications, nodes and real-time data. This webinar will review how you can apply proven integration techniques—such as loose coupling and service orientation—to demanding real-time systems. Unlike approaches designed for conventional business applications, the architecture we'll introduce is appropriate for systems that span embedded, high performance and IT applications.
This webinar targets software architects, chief engineers and development leads in all industries that design real-time and intelligent systems. This includes defense, industrial, transportation, medical and aerospace applications.
Better integration is increasingly the key to competitive advantage. It provides end-users with higher situational awareness, responsiveness and resource utilization. Don't let your architecture hold you back.
1. Connext DDS is a connectivity platform that uses publish/subscribe middleware to loosely couple systems and reduce lifecycle costs through interoperability.
2. It supports mission-critical real-time systems with low latency, high throughput, and resilience through features like redundant networks and failover.
3. Connext DDS has been proven in over 850 critical systems in aerospace, defense, transportation, energy and other industries.
Fast RTPS: Programming with the Default Middleware for Robotics Adopted in ROS2Jaime Martin Losa
Fast RTPS is the default middleware for ROS2 that provides real-time data communication capabilities. It implements the RTPS protocol for interoperability and uses a publish-subscribe model. The presentation covered Fast RTPS features and motivation, how it powers ROS2 and FIWARE, and provided a hands-on example of creating a publisher and subscriber using Fast RTPS to communicate a simple Hello World message type.
The document summarizes a workshop on Fast RTPS. It introduces Fast RTPS as a C++ implementation of the RTPS protocol that provides real-time publish subscribe capabilities. It discusses Fast RTPS features like security, support for ROS2 and FIWARE, and how it enables decoupled architectures with configurable QoS. Examples of how to generate type support from IDL definitions and run a basic publisher/subscriber demo are also provided.
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.
NADS presents SimWare HLA. The one and only HLA that runs over DDS without gateways. Use main simulation architecture over the best real time communication layer.
MBSE meets Industrial IoT: Introducing the New MagicDraw Plug-in for RTI Co...Istvan Rath
Slides of the talk at the MBSE Cyber Experience Symposium 2019 (https://mbsecyberexperience2019.com/speakers/abstracts/item/mbse-meets-industrial-iot-introducing-the-new-magicdraw-connext-dds-plug-in)
From its first use case that enabled distributed communications for US Navy ships to the autonomous systems of today, the DDS family of standards has enabled new generations of applications to run reliably, rapidly and securely, regardless of distance or scale.
To commemorate the 20th year milestone, the DDS Foundation is creating presentations that highlight the 14 specifications in the DDS standard, along with selected real-world use cases.
This presentation introduces some of the original use-cases and experiments, along with a brief history of the Standards.
A recorded video of the presentation is available at this URL
https://www.brighttalk.com/webcast/12231/602966
This document provides an overview of Hadoop, an open source framework for distributed storage and processing of large datasets. It discusses:
- The background and architecture of Hadoop, including its core components HDFS and MapReduce.
- How Hadoop is used to process diverse large datasets across commodity hardware clusters in a scalable and fault-tolerant manner.
- Examples of use cases for Hadoop including ETL, log processing, and recommendation engines.
- The Hadoop ecosystem including related projects like Hive, HBase, Pig and Zookeeper.
- Basic installation, security considerations, and monitoring of Hadoop clusters.
Here are the key steps to run the Ryu controller with a sample application on the Mininet virtual machine topology:
1. Ensure no other controllers are running with `killall controller`
2. Clear any existing Mininet components with `mn -c`
3. Start the Ryu controller with `ryu-manager --verbose ./simple_switch_13.py`
4. In a new terminal, start the Mininet topology with `mn --controller remote`
5. Use Mininet commands like `pingall` and `net` to test connectivity and explore the network
6. You can install additional Ryu applications and restart the controller to add new functionality
7. Use
Here are the key steps:
1. Kill any existing controllers running on the system
2. Clear out any existing Mininet topology using mn -c
3. Start the Ryu OpenFlow controller by running:
ryu-manager --verbose ./simple_switch_13.py
This starts the Ryu controller with the simple_switch_13.py application, which provides basic OpenFlow switch functionality. The --verbose flag prints debug information from the controller. We have now initialized the SDN environment with Ryu acting as the controller.
One of our presentation which was given on Cassandra Database. Aruman implement big-data projects for its multiple client. RDBMS to Cassandra conversion is task which is taken by ARUMAN.
Vortex Lite is a lightweight implementation of the DDS standard that is optimized for resource-constrained devices. It has a small runtime footprint of around 450KB and provides low latency of 30 microseconds and high throughput by utilizing efficient single-threaded and multi-threaded designs. Vortex Lite can also connect to cloud services by enabling TCP/IP and configuring peers to Vortex Cloud addresses.
Vortex Lite is a lightweight implementation of the DDS standard that is optimized for resource-constrained devices. It has a small runtime footprint of around 450KB and provides low latency of 30 microseconds or less. Vortex Lite can connect devices to the Vortex Cloud to enable device-to-cloud and device-to-device communication using DDS. It supports both publishing and subscribing to data using a simple C API.
Cyclone DDS Unleashed: Scalability in DDS and Dealing with Large SystemsZettaScaleTechnology
The document discusses scalability in distributed data systems and mechanisms to address it. It introduces concepts like participant discovery, endpoint discovery, and acknacks that can impact scalability as systems grow. To reduce these effects, it recommends separating components in time and space through controlled startup, delayed acknacks, system partitioning, and using a hub-and-spoke architecture with data forwarding instead of a flat network. Experiments show the hub-and-spoke approach completes faster and with less busy processing than a flat network as the number of components increases.
Similar to Top Three Reasons to Develop Your Next Distributed Application with DDS (20)
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
The document discusses a presentation given by Dr. Stan Schneider, CEO of RTI, and Dr. Rajive Joshi, Principal Solution Architect at RTI, on how the Industrial Internet Consortium's (IIC) Connectivity Framework guides selection of connectivity technologies for industrial internet of things (IIoT) systems. The presentation covered the goals of the IIC Connectivity Framework in providing guidance to practitioners on IIoT connectivity, the layers of the IIoT connectivity stack model, core connectivity standards, and a process for assessing and selecting the appropriate connectivity standard.
The document discusses security for the Industrial Internet of Things (IIoT) and Connext DDS Secure. It provides an overview of security frameworks from the Industrial Internet Consortium, including how they address threats in publish-subscribe systems. It then describes the key features of Connext DDS Secure, which is based on the DDS Security specification and provides authentication, access control, and encryption without a broker. The document demonstrates how to configure QoS profiles and permission files to set up secure domains for a Connext DDS shapes demo.
This document summarizes a presentation on the ISO 26262 approval of automotive software components. The presentation discusses ISO 26262 objectives for software, key characteristics of reusable software components, and the integration of qualified software components. It notes that ISO 26262 qualification of software components is possible if components have certain characteristics like modularity and provide documentation like a compliance matrix to guide integrators.
This document summarizes a presentation on developing autonomous vehicle architectures. It discusses using a data-centric middleware approach like the Data Distribution Service (DDS) standard to integrate sensors, fusion software, and control systems. DDS provides a common data model, quality of service controls, security features, and other benefits to help lower development risks. It also advocates consolidating electronic control units using a hypervisor and safety-certified operating system like QNX to isolate functions with different safety requirements. The presentation argues this is a lower-risk path to autonomous vehicle architecture than point-to-point and client-server approaches.
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
The document discusses fog computing and its role in industrial IoT (IIoT) systems. Fog computing refers to flexible, distributed computing resources and services located between end devices and centralized cloud computing infrastructure. It helps enable real-time response, reliable availability, and complex data management required for IIoT applications. The Industrial Internet Consortium is working to develop common architectures to connect sensors to cloud across industries using fog computing technologies like the Data Distribution Service standard.
The document compares OPC UA and DDS, two key protocols for industrial IoT. OPC UA is object-oriented and client-server, targeting simpler systems with device interchangeability needs. DDS is data-centric and peer-to-peer, more suitable for systems with primary software integration challenges. Both communities are working to ensure their technologies can work together, preserving investments as architectures evolve.
This document discusses cyber security challenges for connected cars. It notes connected cars have multiple attack surfaces through the internet, cloud, communication with other cars, and in-car systems. The document advocates for a layered security approach, including boundary security, transport-level security, and fine-grained data-centric security. It describes using Real-Time Innovation's Connext DDS Secure product to implement fine-grained security at the individual data topic level to control access and ensure proper system operation in a secure manner.
This document discusses lessons learned from space rovers and surgical robots that can inform system architecture. It advocates for a common architecture across industries using the Data Distribution Service (DDS) standard. DDS provides a data-centric middleware that maintains distributed state and facilitates plug-and-play connectivity between devices and across networks. It ensures real-time communication with quality of service guarantees to support applications from robotics to healthcare. DDS has been adopted in over 1000 industrial IoT systems and several standards/consortia due to its ability to securely connect sensors to cloud with interoperability between vendors.
This document discusses safety considerations for next-generation autonomous vehicles and how RTI's data distribution service (DDS) middleware can help address them. DDS ensures reliable data availability in real-time across complex systems, facilitates integration of diverse components, and enables flexible deployment. Its use of a common data model simplifies safety certification processes.
This document discusses RTI's Transport Services Segment (TSS) Reference Implementation, which is built on Connext DDS Cert and conforms to the FACE Safety Base Profile. It provides an overview of the TSS context within FACE, the Transport Services API, and the modular and configurable architecture of Connext DDS Micro and Cert. Connext DDS Cert is designed for safety-critical applications and its code is certifiable to DO-178C Level A, the most stringent safety standard, with reusable certification evidence.
This document discusses how integrating time-sensitive networking (TSN) with a data-centric connectivity approach using the Data Distribution Service (DDS) can improve industrial control systems. TSN provides real-time and deterministic networking over Ethernet, while DDS enables loose coupling, plug-and-play integration, and data sharing through its publish-subscribe model. Together, TSN and DDS can address challenges with traditional connectivity approaches by leveraging commodity hardware, simplifying integration, and allowing for improved data usage. The document outlines relevant TSN standards and how DDS quality of service policies can map to TSN priorities to provide deterministic networking.
The document discusses autonomous vehicle design and RTI's expertise in autonomy. It begins by outlining the challenges of autonomous vehicle technical including rapid evolution, complex system integration, on/off vehicle communications, perception and sensing, decision making, safety certification, and software dominance in a mechanical world. It then describes RTI's experience in various industries and standards efforts. RTI is said to have deep expertise in autonomy from its founders' background and use of its middleware to power unmanned systems. The document discusses how RTI can help with autonomous vehicle development through ensuring data availability, guaranteeing real-time response, managing complex data flows and states, easing system integration, building in security, making deployments flexible, and easing safety
This document discusses cybersecurity considerations for industrial Internet of Things (IIoT) systems. It describes how IIoT systems are distributed across sensors, actuators and other devices with streaming data, analytics/control, and connectivity to IT systems and clouds. This distributed nature introduces potential vulnerabilities from threats. The document then introduces the Data Distribution Service (DDS) standard as a connectivity platform that can address challenges like security while supporting real-time and reliable data distribution. Key features of DDS like decentralization and publish/subscribe capabilities are described. Finally, the document outlines DDS security capabilities like authentication, access control, encryption and logging to secure IIoT systems from unauthorized access and tampering.
This document discusses data distribution service (DDS) security for the industrial internet of things (IIoT). It provides background on DDS and the IIoT. It then discusses how DDS security works, including pluggable security architectures, authentication, access control, and message security. The goal of DDS security is to prevent unauthorized access to data in the global data space shared by DDS applications. Built-in security capabilities include X.509 authentication, access control configuration, and encryption/message authentication algorithms.
1) GE Healthcare is using RTI Connext DDS as the connectivity platform for its Industrial Internet of Things (IIoT) architecture. Connext DDS can handle many classes of intelligent machines and satisfies GE's demanding requirements.
2) GE Healthcare is leveraging the Predix architecture to connect medical devices, cloud analytics, and mobile/wearable instruments. The future communication fabric of its monitoring technology is based on Connext DDS.
3) Physio-Control uses Connext DDS to exchange critical patient care information throughout the system of care, connecting vehicle systems, cloud systems, and infrastructure systems.
1) The document discusses using the Data Distribution Service (DDS) standard and Connext DDS middleware to develop mission-critical systems with Ada. DDS handles connectivity and allows applications to communicate in a loosely coupled publish-subscribe manner.
2) Developing applications directly with traditional inter-process communication approaches is expensive and ties applications to specific communication mechanisms. DDS simplifies application logic and reduces development and integration costs.
3) DDS supports real-time and safety-critical systems and has been used for systems like avionics and defense applications. It interfaces with Ada through code generation from IDL definitions.
4. DDS Is Communications Middleware
Application Application Application
Software Software Software
DDS Library DDS Library DDS Library
Operating System & Operating System & Operating System &
Communication Communication Communication
Mechanism Mechanism Mechanism
Network, backplane, shared memory
5. DDS Scope
Application Application Programming Application
Software Interface (API) Software
DDS Library Communication Model DDS Library
Operating System & Operating System &
Communication Communication
Mechanism Mechanism
Network Protocol
DDS Real-Time Publish Subscribe (RTPS) Wire Interoperability Protocol
6. DDS Is an OMG Standard
• OMG: world’s largest systems software
standards org
– 470+ members
– UML, DDS, CORBA, more
• Open process
• Standards freely available, including to
non-members
• No vendor lock-in
– ~12 implementations
– Proven interoperability
7. Top Three Reasons to Use DDS
1. Accelerate development
2. Future proof your applications
3. Ease integration
10. Topic-Based Publish-Subscribe
DDS Bus
Commands
Sensor Data
Sensor Control Actuator
DDS automatically discovers and routes data between
publishers (writers) and subscribers (readers) to the same topic
11. DDS Topics Are Like Database Tables
Subscribe
Publish Line Flight Dest Arv
UA 567 SFO 7:32
AA 432 LAX 9:15
Squawk Line Flight
1234 UA 567
Squawk Long Lat Alt
7654 AA 432
1234 37.4 -122.0 500.0
7654 40.7 -74.0 250.0
Virtual Global Data Space
• Topics can be keyed
• DDS maintains last n values for each topic-key addressed data sample
• Eliminates dependence on startup order
• Automatically synchronizes state if disconnections and reconnections
• “Single source of truth” within a distributed application
12. Decentralized Architecture
Component Component Component Optional
Persistence
DDS DDS DDS
Unlike a traditional database:
• Decentralized with peer-to-peer communication
– Data cached locally for instant access
– No centralized performance bottlenecks or expensive servers
– No single point of failure: non-stop availability
• Asynchronous (event-driven) for real-time and low-latency
13. Designed to Support Real-Time and
Embedded Applications
• Control and visibility over real-time
Quality of Service (QoS)
– Data volatility: Durability, History,
Lifespan
– Data delivery: Reliability, Time based
filter, Content filter, Deadline
– High availability: Liveliness, Ownership,
Ownership Strength
• Applications can be autonomous
– Zero-configuration discovery
– No centralized servers or software
required
– DDS library embedded in application
• Deterministic resource utilization (RTI)
15. Top Three Reasons to Use DDS
1. Accelerate development
2. Future proof your applications
3. Ease integration
16. Applications Often Start Small
• Single developer or small team
• Few:
– Processors or nodes
– Processor architectures
– Operating systems
– Programming languages
• Single, known network type
and transport protocol
17. …and Grow over Time
• Large teams; multiple
organizations
• Disparate platforms
and programming
languages
• New networking
environments
• New and evolving
requirements
19. Traditional Communications
• Communication logic embedded in application
• E.g., using sockets, RPC, RMI
• Difficult to distribute development
• Costly to evolve, add new functionality
20. With DDS, Modules Are Loosely Coupled
DDS Bus
Sensor Data
Sensor Data
Sensor Sensor Commands
Control Display Actuator
Modules can be added and changed without affecting the rest of an application
21. DDS Easily Scales to Large Projects
• Developers only need to know about shared topics and their types
• Types are well-defined, discoverable and evolvable
struct Position {
struct Position {
unsigned short id;
unsigned short ID;
float latitude;
float latitude;
float longitude;
float longitude;
float altitude;
}
}
• Modules communicate regardless of:
– Programming language
– Operating system
– Processor architecture, word length, endianness
– Underlying transport protocol and network type
– DDS implementation
22. DDS Manages QoS
Reliable, 2 Hz,
Reliable, Western U.S.
100 Hz Line Flight Dest Arv
UA 567 SFO 7:32
Reliable
AA 432 LAX 9:15
Squawk Line Flight
1234 UA 567
Squawk Long Lat Alt Best Effort,
7654 AA 432
1234 37.4 -122.0 500.0 1 Hz, SAN area
7654 40.7 -74.0 250.0
Best Effort, 0.2 Hz,
UA flights
• Each component specifies its offered or requested QoS
• DDS enforces contracts, notifies application if violation
• Retains loose coupling even when disparate requirements
23. Scalable Run-Time Architecture
DDS Is Decentralized Traditional IT Is Centralized
• Efficient communication • Server-based
• No centralized bottlenecks • Assume high-bandwidth,
or choke points reliable network (TCP)
• No expensive servers that • Poor latency, scalability
must scale with volume
27. DDS Scales to Large Applications
• Facilitates modular development of loosely
coupled and interoperable components
– Interfaces (topics and types) are well-defined
– Components are loosely coupled
– No custom protocols to document, maintain
– No reverse engineering
• Applications are programming
language, platform and network independent
• Extremely scalable run-time architecture
28. Top Three Reasons to Use DDS
1. Accelerate development
2. Future proof your applications
3. Ease integration
29. If You Provide an Application
• DDS provides a standard interface for
customers and systems integrators
– They can use any DDS implementation
– No need to provide and support a custom
interface library
• Only have to document topics and types
– …not custom protocols
– Topics and types are even run-time discoverable
• Supports real-time Quality of Service
30. If You’re A Systems Integrator
• DDS is decentralized for high scalability and availability
• Alternative to traditional Enterprise Service Bus (ESB)
• Open: integration logic not specific to an ESB implementation
• Real-Time QoS satisfies the requirements of real-time and non-real-
time components
Disparate Disparate
Component Component
Natively Natively
DDS or other protocol
Interoperable Interoperable
Adapter Adapter Component Component
API
DDS Library DDS Library DDS Library DDS Library
DDS-RTPS Wire Interoperability Protocol