Showing 7 open source projects for "moosefs-master"

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  • 1
    JPPF

    JPPF

    The open source grid computing solution

    JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid.
    Downloads: 24 This Week
    Last Update:
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  • 2
    Dynamic Task Scheduler

    Dynamic Task Scheduler

    A dynamic task scheduler to execute job chains in a fault-tolerant way

    This project provide an easy to deploy service oriented task-scheduling architecture capable to achieve a fault-tolerant job execution on dynamics networks. The system use: - A robust Job scheduler: Quartz Enterprise scheduler (for more info see http://www.quartz-scheduler.org) - A framework to build reliable dynamic distributed systems: Apache River framework (for more info see http://river.apache.org)
    Downloads: 0 This Week
    Last Update:
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  • 3
    PyMW is a Python module for parallel master-worker computing in a variety of environments. With the PyMW module, users can write a single program that scales from multicore machines to global computing platforms.
    Downloads: 0 This Week
    Last Update:
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  • 4
    DBReplicator is a powerful open-source java application for network-based multi-master heterogeneous database replication or filtered synchronization.
    Downloads: 0 This Week
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  • 5
    ...It focuses on distributed computing and data gathering in Internet environment. Intended for smaller projects requiring couple hundreds of computers gathered together for a master-worker like jobs.
    Downloads: 0 This Week
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  • 6
    This project aims at developping a shared tasks computing system using Java, Jini and javaspaces. A master can split a big task in several tasks which will be executed by workers which have joined the federation using thier idle CPU time. A monitoring app
    Downloads: 0 This Week
    Last Update:
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  • 7
    RAFT-Net is a Fault Tolerant Parallel Distributed Framework. Using a Master-Worker scheme, the framework transparently distributes workunits to workers (drones). These workers can join and leave and as such, the network is very flexible. A modified
    Downloads: 0 This Week
    Last Update:
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