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  2. Edge computing - Wikipedia

    en.wikipedia.org/wiki/Edge_computing

    Edge computing is a distributed computing model that brings computation and data storage closer to the sources of data. More broadly, it refers to any design that pushes computation physically closer to a user, so as to reduce the latency compared to when an application runs on a centralized data centre .

  3. Explicitly parallel instruction computing - Wikipedia

    en.wikipedia.org/wiki/Explicitly_parallel...

    Explicitly parallel instruction computing (EPIC) is a term coined in 1997 by the HP–Intel alliance [1] to describe a computing paradigm that researchers had been investigating since the early 1980s. [2] This paradigm is also called Independence architectures.

  4. Fog computing - Wikipedia

    en.wikipedia.org/wiki/Fog_computing

    The OpenFog Consortium was an association of major tech companies aimed at standardizing and promoting fog computing.. Fog computing [1] [2] or fog networking, also known as fogging, [3] [4] is an architecture that uses edge devices to carry out a substantial amount of computation (edge computing), storage, and communication locally and routed over the Internet backbone.

  5. Multi-access edge computing - Wikipedia

    en.wikipedia.org/wiki/Multi-access_edge_computing

    Multi-access edge computing (MEC), formerly mobile edge computing, is an ETSI-defined [1] network architecture concept that enables cloud computing capabilities and an IT service environment at the edge of the cellular network [2] [3] and, more in general at the edge of any network. The basic idea behind MEC is that by running applications and ...

  6. Multiple instruction, multiple data - Wikipedia

    en.wikipedia.org/wiki/Multiple_instruction...

    In computing, multiple instruction, multiple data (MIMD) is a technique employed to achieve parallelism. Machines using MIMD have a number of processor cores that function asynchronously and independently. At any time, different processors may be executing different instructions on different pieces of data.

  7. Distributed memory - Wikipedia

    en.wikipedia.org/wiki/Distributed_memory

    Data can be kept statically in nodes if most computations happen locally, and only changes on edges have to be reported to other nodes. An example of this is simulation where data is modeled using a grid, and each node simulates a small part of the larger grid. On every iteration, nodes inform all neighboring nodes of the new edge data.

  8. REST - Wikipedia

    en.wikipedia.org/wiki/REST

    The term representational state transfer was introduced and defined in 2000 by computer scientist Roy Fielding in his doctoral dissertation. It means that a server will respond with the representation of a resource (today, it will most often be an HTML, XML or JSON document) and that resource will contain hypermedia links that can be followed to make the state of the system change.

  9. IEEE Computing Edge - Wikipedia

    en.wikipedia.org/wiki/IEEE_Computing_Edge

    ComputingEdge is a monthly magazine published by the IEEE Computer Society since 2015. [1] It contains curated articles from 13 IEEE publications and also features original content related to hot technology topics, providing information regarding current research developments, trends, and changes in the computing technology. [2]