Open Source Linux Distributed Computing Software - Page 22

Distributed Computing Software for Linux

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  • 1
    KestrelHPC
    KestrelHPC is a software developed to make life easier to the people that want to have a Diskless Cluster. This Cluster is Multi-User and it has got many tools to configure your cluster. This software can be installed in a Debian or Ubuntu.
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  • 2
    The Kloudvine Distributed Computing Platform provides distributed computing to researchers. Kloudvine provides a way for researchers to use existing computers to provide processing power through a standard web browser.
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  • 3
    Kuery for MySQL is a program developed on RedHat 7.1/KDE 2.11/QT2.3.0 (i386) C++ using KDevelop. Its purpose is to offer a GUI for MySQL administration. The UI superficially resembles portions of Microsoft's Enterprise Manager for SQL Server.
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  • 4
    L-GRID
    L-GRID: a Light portal to access Grid via Web. It provides the control over the complete lifecycle of a Grid Job, from its submission and status monitoring, to the output retrieval. It is client-server application. The L-GRID server is hosted on gridui.sns.it. gridui.sns.it is GRID EGI User Interface for public access which supports "dteam","gridit","infngrid","lhcb","ops","theophys" virtual organizations. if your virtual organization is not in this VOs list, please contact us to add it. === Running You should have received this application as an archive file. Uncompress this archive. It contains an executable file named LGRID_Client_XX.jar. This is a "double-clickable" jar file, or you can run it from the command line using: java -jar LGRID_Client_XX.jar NOTE: To Install JCE Unlimited Strength Jurisdiction Policy Files If needed, you should install the Java Cryptography Extension (JCE) Unlimited Strength Jurisdiction Policy Files.
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  • 5
    LANGlobal Server is an advanced Java RMI server implemented in Java. It is a platform on which developers can develop and deploy a wide range of distributed Java applications. It has a flexible and extensible model.
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  • 6
    Labrador is an open source Web Services Hub written in Java. It is based on an incredibly simple, yet modular architecture, and attempts to transparently support the SOAP, XML-RPC, and REST protocols.
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  • 7
    Latis is a distributable storage engine for the semantic web. We plan to build a cross-platform, high-performance server that enables users to build private clouds which are protocol-compatible with popular web service offerings from Google & Amazon.
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  • 8
    A mobile agent framework. Instead of relying on protocols across the wire, send an agent to the server to execute. An example is encryption: send an agent to retrieve data, but let it do the encryption. Client side encryption on the server!
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  • 9
    LemFS is a distributed, redundant data storage system, designed to utilize unused disk space on networked work stations and desktop PCs.
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  • 10
    LIME (Less-is-More) is parallel/concurrent programming environment based on C. Internally, it uses XML technology to describe tasks and their dependencies. Externally, it offers the ANSI C99 programming as well as a set of visually-oriented interfaces.
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  • 11
    A lightweight, platform-neutral framework for decoupled communications. Development has moved to http://github.com/lwes/
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  • 12
    A Java library that simplifies thread development. It has support for continuations, fork/merge, signals, thread and process serialization, event picker (similar to BPEL's pick element), among other features.
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  • 13
    LinuxTuples is an open-source implementation of David Gelernter's idea of a tuple space, designed to run on a networked cluster of Linux machines.
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  • 14
    The 'Monitor' application, which consists of 2 parts, a MonitorServer (linux daemon) and a MonitorClient (java gui), will enable the user to monitor and log server process, memory, network and cpu information of multiple servers at a time.
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  • 15
    A transparent network messaging system for offloading computations to other possibly more capable machines when they are available. The intended use of the system is for when the results of a computation aren't needed immediately.
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  • 16
    MACOW is a formal and scalable mandatory access implementation suitable on open worlds such as the provided on Semantic Web, Autonomic Computing and Coaltions and Federations scenarios. It is able to access control on distributed systems.
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  • 17
    MGM GridComputing

    MGM GridComputing

    Cross-platform grid computing solution

    MGM GridComputing is a cross-platform solution to distribute time-thirsty tasks such as number crunching to a grid of connected clients.
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  • 18
    MIC* comes with a new vision of multi-agent system engineering: The multi-agent system is devided explicitly into two dimensions: the deployment environment and the autonomous agents. MIC* is an algebraic model of a deployment environment (container of a
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  • 19
    Patches to the Quake II game engine to enable it to run as a massively multiplayer online game with one world spanning multiple servers.
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  • 20
    Distributed Parallel Programming for Python! This package builds on traditional Python by enabling users to write distributed, parallel programs based on MPI message passing primitives. General python objects can be messaged between processors. Ru
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  • 21
    Object Oriented Python bindings for the Message Passing Interface (MPI)
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  • 22
    MPIRuby is a Ruby version of the MPI supercomputing standard interface. It enables massively parallel and distributed algorithms to be written in a platform-independent manner suitable for large-scale computation-intensive experiments. MPI is the \"Mes
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  • 23
    MPY is an MPI implementation for Python using MPICH (or any other MPI implementation). MPY also provides helper functions for ease of programming, and a simple plug-in interface.
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  • 24
    MQbench is a graphical message passing (mpi, mpich) benchmark, which involves Qt for graphical view of different MPI Calls. MQbench has the abiltiy to benchmark the communication behaviour between different groups of clusternodes with a single click.
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  • 25
    The objective of the project is to provide a concrete framework based on MR, which provides an extensible and easily manageable distributed computational environment.
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