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  2. 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 ...

  3. Cloud computing - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing

    Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and "bursts" to a public cloud when the demand for computing capacity increases. A primary advantage of cloud bursting and a hybrid cloud model is that an organization pays for extra compute resources only when they are needed. [ 68 ]

  4. Massively parallel - Wikipedia

    en.wikipedia.org/wiki/Massively_parallel

    One approach is grid computing, where the processing power of many computers in distributed, diverse administrative domains is opportunistically used whenever a computer is available. [1] An example is BOINC , a volunteer-based , opportunistic grid system, whereby the grid provides power only on a best effort basis.

  5. Dynamic infrastructure - Wikipedia

    en.wikipedia.org/wiki/Dynamic_Infrastructure

    Dynamic infrastructures also provide the fundamental business continuity and high availability requirements to facilitate cloud or grid computing. For networking companies, infrastructure 2.0 refers to the ability of networks to keep up with the movement and scale requirements of new enterprise IT initiatives, especially virtualization and ...

  6. Parallel computing - Wikipedia

    en.wikipedia.org/wiki/Parallel_computing

    Grid computing is the most distributed form of parallel computing. It makes use of computers communicating over the Internet to work on a given problem. Because of the low bandwidth and extremely high latency available on the Internet, distributed computing typically deals only with embarrassingly parallel problems.

  7. Fabric computing - Wikipedia

    en.wikipedia.org/wiki/Fabric_computing

    While the term has been in use since the mid to late 1990s [2] the growth of cloud computing and Cisco's evangelism of unified data center fabrics followed by unified computing (an evolutionary data center architecture whereby blade servers are integrated or unified with supporting network and storage infrastructure) starting March 2009 has renewed interest in the technology.

  8. European Grid Infrastructure - Wikipedia

    en.wikipedia.org/wiki/European_Grid_Infrastructure

    Originally, EGI stood for European Grid Infrastructure. This reflected its focus on providing access to high-throughput computing resources across Europe using Grid computing techniques. However, as EGI's service offerings expanded beyond traditional grid computing, particularly with the incorporation of federated cloud services, the original ...

  9. Elasticity (computing) - Wikipedia

    en.wikipedia.org/wiki/Elasticity_(computing)

    [1] [2] Elasticity is a defining characteristic that differentiates cloud computing from previously proposed distributed computing paradigms, such as grid computing. The dynamic adaptation of capacity, e.g., by altering the use of computing resources, to meet a varying workload is called "elastic computing". [3] [4]

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