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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.
Distributed Relational Database Architecture (DRDA) is a database interoperability standard from The Open Group. DRDA describes the architecture for distributed relational databases. It defines the rules for accessing the distributed data, but it does not provide the actual application programming interfaces (APIs) to perform the access .
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 ...
In the duplication process, users may change only the master database. This ensures that local data will not be overwritten. Both replication and duplication can keep the data current in all distributive locations. [2] Besides distributed database replication and fragmentation, there are many other distributed database design technologies.
Advanced Message Queuing Protocol (AMQP) provides an open standard application layer protocol for message-oriented middleware. [10] The Object Management Group's Data Distribution Service (DDS) has added many new standards to the basic DDS specification. See Catalog of OMG Data Distribution Service (DDS) Specifications for more details.
In replicated databases, a data object has copies present at several sites. To ensure serializability , no two transactions should be allowed to read or write a data item concurrently. In case of replicated databases, a quorum-based replica control protocol can be used to ensure that no two copies of a data item are read or written by two ...
Through various message passing protocols, processes may communicate directly with one another, typically in a main/sub relationship. Alternatively, a "database-centric" architecture can enable distributed computing to be done without any form of direct inter-process communication, by utilizing a shared database. [39]
A distributed SQL database is a single relational database which replicates data across multiple servers. Distributed SQL databases are strongly consistent and most support consistency across racks, data centers, and wide area networks including cloud availability zones and cloud geographic zones.