Showing 5 open source projects for "private cloud"

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    pycos

    Python framework for concurrent, asynchronous, distributed tasks

    Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including public / private / hybrid cloud computing, fog / edge computing.
    Downloads: 1 This Week
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    dispy

    Distributed and Parallel Computing with/for Python.

    dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently. dispy supports public / private / hybrid cloud computing, fog / edge computing.
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    Downloads: 1 This Week
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  • 3
    Elastic Management of Tasks in Virtualized Environments is in charge of managing virtual machines created in Xen by creating full customized virtual machines and allowing executing tasks inside this.
    Downloads: 0 This Week
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  • 4
    Software for accessing and managing private/local, public/remote and hybrid cloud environments.
    Downloads: 0 This Week
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  • 5
    OpenECP: Open Elastic Computing Platform
    OpenECP is an open source fork of the Enomaly Elastic Computing Platform (ECP) following its commercialisation. It is a web-based management platform for hypervisors which can be used to create "public" and "private" cloud computing environments.
    Downloads: 0 This Week
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