Showing 4 open source projects for "network performance"

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  • 1

    asyncoro

    Python framework for asynchronous, concurrent, distributed programming

    asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll and select, where necessary), and Windows I/O Completion Ports (IOCP) for high performance and scalability, and SSL for security
    Downloads: 0 This Week
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  • 2

    Ganglia

    Scalable, distributed monitoring system for high-performance computing

    Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. Supports clusters up to 2000 nodes in size.
    Downloads: 17 This Week
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  • 3
    Pluster is a cluster management software developed with python. It is easy to install and maintain. Pluster Provides cluster performance monitoring and remote OS installing. It's future will be an agent-based management system.
    Downloads: 0 This Week
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  • 4
    The Open Distributed Framework project is aimed at developing an open-source, cross-platform framework for distributed, high-performance physical modelling and simulation.
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