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The Data Distribution Service (DDS) for real-time systems is an Object Management Group (OMG) machine-to-machine (sometimes called middleware or connectivity framework) standard that aims to enable dependable, high-performance, interoperable, real-time, scalable data exchanges using a publish–subscribe pattern.
The Object Management Group's Data Distribution Service (DDS) provides message-oriented Publish/Subscribe (P/S) middleware standard that aims to enable scalable, real-time, dependable, high performance and interoperable data exchanges between publishers and subscribers. [7] The standard provides interfaces to C++, C++11, C, Ada, Java, and Ruby.
The Data Distribution Service (DDS) middleware does not use a broker in the middle. Instead, each publisher and subscriber in the pub/sub system shares meta-data about each other via IP multicast. The publisher and the subscribers cache this information locally and route messages based on the discovery of each other in the shared cognizance.
Data Definition Specification, in software data management; Data Description Specifications, in AS/400 programming; Data Distribution Service, an Object Management Group standard for publish/subscribe middleware for distributed systems; Data dictionary system of ICL's VME operating system; see ICL VME#QuickBuild
As for middleware applications that most closely match HLA features, such as the publish and subscribe feature (P&S) see Data Distribution Service (DDS) which shares many of the same characteristics but having an open on-the-wire protocol for system interoperability.
Data Distribution Service for Real-time Systems (DDS) is a specification of a publish/subscribe middleware for distributed systems created in response to the need to standardize a data-centric publish-subscribe programming model for distributed systems.
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Distributed Data Management Architecture (DDM) is IBM's open, published software architecture for creating, managing and accessing data on a remote computer. DDM was initially designed to support record-oriented files; it was extended to support hierarchical directories, stream-oriented files, queues, and system command processing; it was further extended to be the base of IBM's Distributed ...