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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. Category:Distributed computing problems - Wikipedia

    en.wikipedia.org/wiki/Category:Distributed...

    Problems and challenges related to distributed computing, distributed systems and distributed algorithms, including: Computational problems that have been studied in a distributed setting. Challenges related to dividing a computational problem into multiple tasks that can be solved in parallel. Challenges related to fault-tolerance and ...

  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. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    Stream processing is essentially a compromise, driven by a data-centric model that works very well for traditional DSP or GPU-type applications (such as image, video and digital signal processing) but less so for general purpose processing with more randomized data access (such as databases). By sacrificing some flexibility in the model, the ...

  6. Inter-process communication - Wikipedia

    en.wikipedia.org/wiki/Inter-process_communication

    Many applications are both clients and servers, as commonly seen in distributed computing. IPC is very important to the design process for microkernels and nanokernels, which reduce the number of functionalities provided by the kernel. Those functionalities are then obtained by communicating with servers via IPC, leading to a large increase in ...

  7. Grid computing - Wikipedia

    en.wikipedia.org/wiki/Grid_computing

    “Distributed” or “grid” computing in general is a special type of parallel computing that relies on complete computers (with onboard CPUs, storage, power supplies, network interfaces, etc.) connected to a network (private, public or the Internet) by a conventional network interface producing commodity hardware, compared to the lower efficiency of designing and constructing a small ...

  8. Distributed ledger - Wikipedia

    en.wikipedia.org/wiki/Distributed_ledger

    The primary advantage of this distributed processing pattern is the lack of a central authority, which would constitute a single point of failure. When a ledger update transaction is broadcast to the P2P network, each distributed node processes a new update transaction independently, and then collectively all working nodes use a consensus ...

  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).