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  2. Distributed data processing - Wikipedia

    en.wikipedia.org/wiki/Distributed_data_processing

    Distributed data processing. Distributed data processing [1] (DDP) [2] was the term that IBM used for the IBM 3790 (1975) and its successor, the IBM 8100 (1979). Datamation described the 3790 in March 1979 as "less than successful." [3] [4] Distributed data processing was used by IBM to refer to two environments: IMS DB/DC; CICS/DL/I [5] [6]

  3. Distributed Data Management Architecture - Wikipedia

    en.wikipedia.org/wiki/Distributed_Data...

    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 ...

  4. Distributed computing - Wikipedia

    en.wikipedia.org/wiki/Distributed_computing

    Distributed computing is a field of computer science that studies distributed systems, defined as computer systems whose inter-communicating components are located on different networked computers. [1] [2] The components of a distributed system communicate and coordinate their actions by passing messages to

  5. Distributed SQL - Wikipedia

    en.wikipedia.org/wiki/Distributed_SQL

    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 .

  6. Distributed algorithm - Wikipedia

    en.wikipedia.org/wiki/Distributed_algorithm

    A distributed algorithm is an algorithm designed to run on computer hardware constructed from interconnected processors. Distributed algorithms are used in different application areas of distributed computing , such as telecommunications , scientific computing , distributed information processing , and real-time process control .

  7. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    Stream processing is especially suitable for applications that exhibit three application characteristics: [citation needed] Compute intensity, the number of arithmetic operations per I/O or global memory reference. In many signal processing applications today it is well over 50:1 and increasing with algorithmic complexity.

  8. Middleware (distributed applications) - Wikipedia

    en.wikipedia.org/wiki/Middleware_(distributed...

    Middleware in the context of distributed applications is software that provides services beyond those provided by the operating system to enable the various components of a distributed system to communicate and manage data. Middleware supports and simplifies complex distributed applications.

  9. RM-ODP - Wikipedia

    en.wikipedia.org/wiki/RM-ODP

    The RM-ODP view model, which provides five generic and complementary viewpoints on the system and its environment.. Reference Model of Open Distributed Processing (RM-ODP) is a reference model in computer science, which provides a co-ordinating framework for the standardization of open distributed processing (ODP).