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  2. Temporal isolation among virtual machines - Wikipedia

    en.wikipedia.org/wiki/Temporal_isolation_among...

    In a world of computing that is shifting towards cloud computing paradigms where resources (computing, storage, networking) may be remotely rented in virtualized form under precise service-level agreements, it would be highly desirable that the performance of the virtualized resources be as stable and predictable as possible.

  3. rCUDA - Wikipedia

    en.wikipedia.org/wiki/RCUDA

    rCUDA, which stands for Remote CUDA, is a type of middleware software framework for remote GPU virtualization. Fully compatible with the CUDA application programming interface , it allows the allocation of one or more CUDA-enabled GPUs to a single application. Each GPU can be part of a cluster or running inside of a virtual machine

  4. 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 ]

  5. Platform as a service - Wikipedia

    en.wikipedia.org/wiki/Platform_as_a_service

    Platform as a service (PaaS) or application platform as a service (aPaaS) or platform-based service is a cloud computing service model where users provision, instantiate, run and manage a modular bundle of a computing platform and applications, without the complexity of building and maintaining the infrastructure associated with developing and launching application(s), and to allow developers ...

  6. ZeroVM - Wikipedia

    en.wikipedia.org/wiki/ZeroVM

    ZeroVM is an open source light-weight virtualization and sandboxing technology. It virtualizes a single process using the Google Native Client platform. Since only a single process is virtualized (instead of a full operating system), the startup overhead is in the order of 5 ms.

  7. Containerization (computing) - Wikipedia

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

    In software engineering, containerization is operating-system–level virtualization or application-level virtualization over multiple network resources so that software applications can run in isolated user spaces called containers in any cloud or non-cloud environment, regardless of type or vendor. [1]

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