Real-Time Innovations

RTI Community Newsletter

Publication Year: 
2014

Content-based Filtering Discovery Protocol (CFDP): Scalable and Efficient OMG DDS Discovery Protocol

The OMG Data Distribution Service (DDS) has been deployed in many mission-critical systems and increasingly in Internet of Things (IoT) applications since it supports a loosely-coupled, data-centric publish/subscribe paradigm with a rich set of quality-of-service (QoS) policies. Effective data communication between publishers and subscribers requires dynamic and reliable discovery of publisher/subscriber endpoints in the system, which DDS currently supports via a standardized approach called the Simple Discovery Protocol (SDP).

Publication Year: 
2014
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Scalable Reactive Stream Processing Using DDS and Rx

Event-driven design is fundamental to developing resilient, responsive, and scalable reactive systems as it supports asynchrony and loose coupling. The OMG Data Distribution Service (DDS) is a proven event-driven technology for building data-centric reactive systems because it provides the primitives for decoupling system components with respect to time, space, quality-of-service, and behavior. DDS, by design, supports distribution scalability. However, with increasing core count in CPUs, building multicore-scalable reactive systems remains a challenge.

Publication Year: 
2014
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A C++ Template Library for Data-Centric Type Modeling for DDS-XTypes

This whitepaper describes a powerful C++ template library to allow users to describe their types in plain C++ and use those types directly for data-centric communication over DDS. The library transforms native C++ types into equivalent run-time TypeObject representation as specified in the DDS-XTypes standard. The library obviates the need to describe application-level data-types in external representations, such as IDL, XSD, XML, and DynamicData.

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Publication Year: 
2014
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RTI Community Newsletter

Publication Year: 
2014
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