Showing 8 open source projects for "hibernate-distribution"

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  • 1
    StackOps
    End of Life (EOL) of StackOps Community Distro ============================================== Starting from November 2013, the StackOps Community Distro has been discontinued in favor of the new StackOps 360 distro and the FABuloso OpenStack deployment libraries. If you want to give a try to the StackOps 360 distro, then you have to go to our corporate website at http://www.stackops.com and download the distro right way. If you want to use our FABuloso libraries, you have to visit...
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  • 2
    PBS Cluster Viz
    PBS Cluster Viz is a project to display information useful to admins and users about a computing cluster managed by a PBS-compatible resource manager. Information includes load and job distribution. Interactive as well as static output is available.
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  • 3
    DISTributed Adaptable Executable (DISTae) is a software layer that allows the portability of programs among different heterogeneous computing units and run the different parts of the code simultaneously in a distributed and heterogeneous environment.
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  • 4
    This Project aims to create a Linux Distribution focused on the IBM zOS system, it includes a set of Mainframe tools, based all in Linux Kernel modules, C and Python. -MainFrame Access Methods -ISPF menus -REXX scripting -RACF security -JCL Batch Job
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  • 5
    Pools of Virtual Boxes (POVB) aims to make it easy to deploy Linux Condor pools on Windows based machines using Virtual Box virtual machines.
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  • 6
    Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
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  • 7
    TOS is a lightweight distributed computing middleware platform. It provides a secure message passing mechanism and a simple framework for implementing application specific message handlers (extensions).
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  • 8
    StreamMine is a distributed event processing (streaming) infrastructure. You can create low-latency, fault-tolerant stream processing functionality with any stream-oriented operators that can be implemented in Python.
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