Search Results for "distributed computing" - Page 6
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Showing 1181 open source projects for "distributed computing"
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MonPaaS
MonPaaS is a monitoring service for OpenStack based on Nagios
MonPaaS is a monitoring service for OpenStack based on Nagios. MonPaaS enables a distributed monitoring platform for both cloud provider and cloud consumers. -
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A community repository to develop Commodity Grid (CoG) Software for the access of Grids, through high level interfaces. The main repository is maintained at http://www.cogkit.org
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The goal of this project is to make possible to access Progress database from any external program that can use sockets. The server (broker and agents) are written in Progress 4GL and made use of sockets capabilities of Progress V9.
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MediaEncodingCluster is an Enterprise Class, Video Cluster Environment with a Plattform Independent Client - Server Architecture for distributed video/audio converting/encoding tool over a grid Computing Network Design. more on http://docs.codergrid.de
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ReorJS
Distributed Computing with JavaScript
Create your own distributed computer that can distributed javascript based applications to any computer with a web browser, headless browser or node.js installation. For more information and updates please see our website - http://reorjs.com. -
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TeleScope
XML Data Stream Broker/Replicator
TeleScope is the efficient intensive-load XML data stream broker, replicator and simple event processing platform (SEP) written in C for the Fedora 17-18, Slackware 13-14, Red Hat Enterprise Linux 6 (RHEL-6) Linux distributions. The platform is intended to be operated upon the single number/word values and is not meant to be deployed for full-text XML stream analysis. TeleScope has internal query language with a set of standard logical operators that allows to construct relatively complex... -
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XCPU is a suite of tools for cluster management. It includes utilities for job starting, cluster resource management, scalable distribution of boot images as well as creation and control of virtual machines in a cluster environment.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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DisChoco
DisChoco: Distributed Constraint Reasoning Solver
DisChoco is a Distributed Constraint Reasoning Solver. Several Distributed Constraint Reasoning algorithms are implemented (like ABT, AFC, Adopt, ...). Users may easily implement and test their algorithms with DisChoco. contact: wahbi[at]users[dot]sourceforge[dot]net -
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Shared Memory Arena
shared memory allocator
a shared memory allocator that provides a simple interface for named shared memory segments; shared memory between any processes; provides shared memory queues; does not use the same address between processes; fast structured arena file scales well -
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YARP, Yet Another Robot Platform. Always dreamt of controlling a humanoid robot? ...well, we do that. A C++ library for IPC, vision and control. This project was migrated to GitHub: https://github.com/robotology/yarp
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NetworkService
Networking framework for Java applications
NetworkService is a Java network API that simplifies development of LAN-based applications. It allows programmer to build locatable, state-monitorable software modules and exchange data between them in a peer-to-peer fashion. These modules can be given 'meaningful' names (Tom, FileServer1, Printer2..etc) instead of static IP address. NetworkService's project also provides SawaTalk - a server-less chat application (bundled with the final version of NetworkService ). SawaTalk has the... -
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DropboxMQ is an implementation of the Java Message Service API that uses a shared file system to store and distribute messages. A dropbox is a set of shared directories that relies on atomicity of file move operations to settle contention for messages.
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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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CACANMS is an acronym for Computer Aided Campus Area Network Management System. The system consists of software components and a library of about 60 classes. It is divided into three types of subsystems which reside on different servers and communicate.
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C.H.A.O.S. Linux
C.H.A.O.S. is a Linux distro made for clusters.
C.H.A.O.S. Linux is a distribution based on the Arch Linux operating system. It's a cluster oriented OS that does not providea graphical environment. Being based on standard Arch releases, this distro supports both i686 and x86_64 architectures. C.H.A.O.S. was created with a fixed main purpose: let admins get their cluster running in almost no time; despite having to manually install it on every node, the built-in textual installer will automate most of the process. More informations at... -
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TuCSoN
TuCSoN tuple-based coordination middleware
TuCSoN (Tuple Centres Spread over the Network) is a tuple-based middleware for the coordination of distributed systems – including multi-agent systems, mobile agents and pervasive systems. -
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Open Source DCS (Distributed Control System). FreeDCS will give you everything you need to control your machines or process. It's being designed to be easy to use and deploy. It's composed of Logic designer, HMI designer and controller software.
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PuSSH is Pythonic, Ubiquitous SSH, a Python wrapper/script that runs commands in parallel on clusters/ranges of linux/unix machines via SSH, ideally where SSH is configured to use Kerberos, RSA/DSA keys, or ssh-agent as to avoid password authentication.
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Experiment Design and Administration for Computer Clusters. Latest source code on http://github.com/edacc
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ThunderstormDistributor
Distribute jobs to compute nodes on dynamic clusters
ThunderstormDistributor is a queuing system that distributes jobs and computational workload across dynamic clusters in the cloud. It manages the assignment of jobs to maximize CPU and memory usage and prevent oversubscription of compute nodes. It also performs advanced statistics collection on individual compute nodes and jobs to graph the distribution of disk, network, CPU, and memory usage over time, which facilitates the advanced optimization and tuning of computational workflows.