Open Source Windows Clustering Software - Page 4

Clustering Software for Windows

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  • 1
    A Console-based BitTorrent Client with built-in scheduler for handling multiple sessions. It is designed to manage sessions in queue easily without heavy-weight GUI. External module can search for new torrents in trackers and submit it automatically.
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  • 2
    Bluesfield: An experimental distributed computing platform for the support of grassroots movements.
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  • 3
    General purpose, cross-platform, high-latency, high availability (HA) daemon. HA is achieved by IP-takeover of the virtual/HA server(s) by one or more real/redundant servers. Requires Perl 5. Designed for ease of deployment (for a HA system :-).
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  • 4
    CHAC is a MATLAB toolbox for statistical downscaling.
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  • 5
    CIMHA is aimed to create integrated suite to provision and manage HA clusters in virtual environment. It analyzes kernel/hardware health of cluster nodes by using VESPER(linux kernel prober) and migrates the Resources based on probe signals.
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  • 6
    A set of tools for working with J2EE application servers. it includes a generic JDBC datasource implementation, and a jndi/rmi/iiop multiplexer for accessing remote application servers through a standalone web container
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  • 7
    The Community Scheduler Framework (CSF) is a set of Grid Services, implemented using the Globus Toolkit, which provides an environment for the development of metaschedulers that can dispatch jobs to resource managers such as LSF, SGE, PBS and Condor.
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  • 8
    CUBRID Cluster
    See http://www.cubrid.org/cluster. CUBRID Cluster is an open source clustered DBMS for high scalability including global schema, distributed partition and load balancing features. It is a spin-off project from CUBRID project and supported by NHN.
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  • 9
    Channel is a C++ framework for distributed message passing and event dispatching, configurable with its components (msg ids,routing algorithms...) as template parameters. As a namespace shared by peer threads, channel supports scope control and filtering
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  • 10
    Chordless is a Chord and DHash implementation written in java. It implements almost everything from Chord and DHash described at http://pdos.csail.mit.edu/chord/, as well as some extra features such as transactions and remote method invocation.
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  • 12

    Cluster Orchestrator

    orchestrator / cluster deployment tool

    The Orchestrator server is responsible for distribution and launch of simple apply/rollback shell scripts in a particular order across multiple servers . If for any reason deployment is failing at a particular stage the process will stop and you can rollback any changes done until then. In case you want to deploy your code or just call your preferred DSC client to apply the configuration locally the Orchestrator can be a handy tool. The operation can be started manually or scheduled, depending on your needs. In terms of audit and trace capabilities, the system is collecting all console output of your shell scripts from all servers and saves the logs centrally for review.
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  • 13
    Cluster101 allows you to run software on many hosts and perform a simple task scheduling. No need to install any software on the hosts (it just runs tasks via ssh). It is typically used for running scientific applications on University campuses.
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  • 14
    ClusterTools includes a set of tools for administration tasks, monitoring and test purposes of heartbeat2 clusters.
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  • 15
    CfE stands for “Clusters for Everyone” and is an effort to make a Linux distribution tailored for clusters. For more information, please see http://www.matteocicuttin.it/?page_id=101
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  • 16
    Provide a common portal platform to join Internet Service Providers’ users into a community, both including personalization using "portlets" as the building blocks of .NET type applications and using a Parallel Portal Engine to overcome such demanding use
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  • 17
    Corosync Cluster Engine

    Corosync Cluster Engine

    The Corosync Cluster Engine

    The Corosync Cluster Engine is a Group Communication System with additional features for implementing high availability within applications. The project provides four C application programming interface features. A closed process group communication model with extended virtual synchrony guarantees for creation of replicated state machines. A simple availability manager that restarts the application process when it has failed. A configuration and statistics in-memory database that provides the ability to set, retrieve, and receive change notifications of information. A quorum system that notifies applications when a quorum is achieved or lost. Our project is used as a high-availability framework by projects such as Pacemaker and Asterisk. We are always looking for developers or users interested in clustering or participating in our project.
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  • 18
    Cos provides a high level interface to application developers wishing to manipulate objects stored in a corportate wide data source lightweight data entries are manipulated by services that are able to appear and dissapear across the network as needed.
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  • 19
    Crane

    Crane

    Crane is a FinOps Platform for Cloud Resource Analytics and Economics

    Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easily but also to ensure the quality of applications.
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  • 20
    Cybermen - SPC

    Cybermen - SPC

    Services platform in cluster for Java.

    Cybermen - SPC (Services Platform in Cluster) es una plataforma de servicios y clúster de procesamiento distribuido, orientado principalmente al desarrollo de aplicaciones de supervisión, control y adquisición de datos (SCADA) y control distribuido (DCS). Cybermen - SPC de por sí, no hace a las aplicaciones SCADA o DCS, pero constituye una base para el desarrollo de este tipo de soluciones, basándose para las mismas en una arquitectura de servicios colaborativos (SOA) y operando en un clúster de procesamiento. Por estar vasado en Java SE, Cybermen - SPC no solo es cross-platform (opera en cualquier sistema operativo que soporte java) sino que al mantenerse dentro de Standard Edition y operar con un numero acotado de dependencias externas, funciona con bajos requerimientos de hardware. Tanto, que sus nodos de procesamiento son capases de operar en hardware ARM v7 con soporte para Java SE Embedded
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  • 21
    DACCA == Database-Controlled Cluster Administration is a system for installation, configuration and maintenance of Linux and/or Windows NT hosts in a network environment.
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  • 22
    Direct Access Programming Library (DAPL) is a high performance Remote Direct Memory Access API (see www.datcollaborative.org). Linux & Windows uDAPL maintenance/development is now discussed on general@lists.openfabrics.org & ofw@lists.openfabrics.org.
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  • 23
    DeepCluster

    DeepCluster

    Deep Clustering for Unsupervised Learning of Visual Features

    DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model gradually discover meaningful structure without labels. DeepCluster was one of the early successes in unsupervised visual feature learning, demonstrating that clustering-based reformulation can rival supervised baselines for many downstream tasks. The repository includes code for feature extraction, clustering, training loops, and evaluation benchmarks like linear probes. Because of its simplicity and modular design, DeepCluster has inspired many later methods.
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  • 24
    DevOps Terraform Module

    DevOps Terraform Module

    DevOps Terraform Module

    This is a Terraform module repository to maintain the version DevOps-related resources to install inside the Kubernetes cluster. Following the resources and provider support in this module in Version 1.0.0. We easily use to “DevOps” module to set resources inside the Kubernetes cluster locally, this cluster is created on a docker container in our local machine.
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  • 25
    Java package containing architecture to distribute CPU intensive processing tasks across the internet. A generic client will be capable of running any task the server provides it, automatically updating the code it runs.
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