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OpenECP is an opensource fork of the Enomaly Elastic Computing Platform (ECP) following its commercialisation. It is a web-based management platform for hypervisors which can be used to create "public" and "private" cloud computing environments.
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
SDI is a simple and scalable system to Diagnose Instantly huge (and small) networks. It provides a way to run diagnose scripts at hosts or any other kind of script [such as a DEE], also creates a webpage containing all informations summarized.
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A very lightweight Python program that executes commands on multiple Linux hosts in a user-designated number of threads via SSH. Intended for management for a large number of Linux/Unix nodes
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.
The app consists of a client, server and web app. orinoco is a remote job scheduler, that was conceived at the coffee house orinco. It is being used a ruby/ruby on rail learning project.
features:
- start, stop, restart, logging, scheduling, loggin
NetWorkSpaces, developed by Scientific Computing Associates Inc., provides a framework to coordinate programs written in R. It allows users to write parallel programs in R easily.
NetWorkSpaces, developed by Scientific Computing Associates Inc., provides a framework to coordinate programs written in Python, making it easier to write distributed applications.
pdo allows users to run SSH commands on multiple remote hosts in parallel, or run commands (such as rsync etc.) locally against multiple remote hosts in parallel.
Python Integrated Parallel Programming EnviRonment (PIPPER), Python pre-parser that is designed to manage a pipeline, written in Python. It enables automated parallelization of loops. Think of it like OpenMP for Python, but it works in a computer cluster
Jather aims to provide an easy to use library for clustered process execution in Java. This library aims to provide a simple API and allow applications to add clustering functionality with little change to the existing code.
Fura is a self-contained grid middleware that allows the grid enablement and distribution of applications on heterogeneous computational resources. Fura features a web-based GUI, wizard-guided installation and configuration, and Web Services compliance.
NChord is a C# implementation of the Chord distributed hash table. The project provides a library containing the routing, lookup, and maintenance routines specified in the MIT Chord paper, and is quite stable including under heavy load and churn.
Sequoia is a database clustering middleware offering load balancing and transparent failover. Databases are replicated over multiple nodes and Sequoia balances the queries between them. Sequoia supports online maintenance and recovery operations.
PPIV is a parallel software application used in Particle Image Velocimetry (PIV) analysis. The software will compute the vector field for one image pair or multiple image pairs. PPIV can run on a single desktop machine or in a cluster environment.
A PHP Client Library for beanstalkd. BeanStalk allows PHP developers to make use of the beanstalkd in-memory workqueue server (http://xph.us/software/beanstalkd).
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
This project proposes the development of a system that automatically balances the load of virtualized servers, monitoring their resources and migrating virtual machines if necessary. The main goal of Vmbal is to improve the usage of server resources.
Jgroup/ARM is a replication framework that supports group method invocations, hides replication from the clients, and partitioning in distributed systems. In addition, the replication management facility supports autonomous replica deployment and recovery