Open Source Linux Distributed Computing Software - Page 19

FlowVR is an open source middleware tailored for high performance in situ data processing and analytics running on large parallel machines

Fnorb is a CORBA 2.0 ORB for Python first developed by DSTC (http://www.dstc.edu.au). Our project will take the formerly closed Fnorb source-base and turn it into a pure-python ORB with up-to-date Python mapping and CORBA 2.4 compliance (ie POA support).

Network-booting Folding@Home server in 65 MB or less.

This is a distributed index framework using Apache Hadoop, Apache Lucene and Apache Tika, to index large volume of data.

Formigueto is a distributed, filter-stream and event based run-time environment

A fractal generator that relies on cooperative computing for complex calculation.

Free Agents DIDS is a distributed intrusion detection system that you place on each host on your network. Agents intercommunicate with aes encryption, automatically alert you, and secure your network for free!

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.

The original FreeMMG was an attempt at implementing a decentralized MMOG in Java. FreeMMG 2 is, currently, just a PhD thesis, which you can download here. If you are interested in developing the FreeMMG 2 ideas into something concrete: fcecin AT gmail.

Register and look up services by interface type and (optionally) desired properties. Also includes a Type Repository. There is, as yet, no attempt at federation and no access control.

Freenomalism is a free, community based fork of the Enomalism web-based virtual infrastructure/cloud computing platform. The dashboard can help with issues including deployment planning, load balancing, migration, configuration management, and capacity.

FullAuto is a groundbreaking secure programming framework that enables FULL API access to any number of simultaneous persistent SSH and SFTP connections to remote resources and devices. With FullAuto, connections are PERSISTANT enabling state preservation of file system navigations, environment manipulations, and user context shifting. Output and error messages from remote commands are returned accurately from both STDOUT and STDERR channels. With FullAuto persisent SSH/SFTP connections, automated processes can be DYNAMIC, intelligent and responsive - precisely in the same manner that highly trained professionals work with SSH/SFTP tools, to perform countless tasks manually. FullAuto works with the naked protocol, and connects directly with ordinary SSH/SFTP servers that already exist on nearly every UNIX platform, and many Windows and MAC systems. NO OTHER REMOTE SOFTWARE IS NEEDED. FullAuto is written entirely in Perl and has been tested on Linux, UNIX and Windows with Cygwin.

GAP (Grid Agents Platform) Toolkit for Modeling and Simulation of Mobile Agents in Grid Environments. GAP is an abstraction over GridSim, a Grid Simulation Toolkit for Resource Modelling and Application Scheduling for Parallel and Distributed Computing.

A Middleware for Distrubted Data Stream Processing

GI-Skynet ist eine verteilte Kommunikationsplattform. Es erlaubt dem darauf aufbauenden verteilten System, seinen globalen Zustand aufzuzeichnen, ohne dabei den regulaeren Betrieb zu unterbrechen.

GRIDS (The Generic Runtime Infrastructure for Distributed Simulation) represents middleware to support the interoperability of distributed simulations using component services known as Thin Agents.

GRIDportal is a web-based application portal for High Performance Computing. It facilitates easier access to GRID applications through a comfortable web interface. It was designed for use with NorduGrid, but is very generic by nature.

GXP is a parallel/distributed shell, plus a parallel task execution engine that runs your Makefile in parallel on distributed machines. Very easy to install (no need to compile. install it on YOUR machine and use it on ALL machines).

These are 2 OS definitions and a scheduler script that are designed for the full virtualization of linux and windows systems on Ganeti. They works good on my KVM-based production environment and provides all that you need in order to create, backup and restore instances. Note: I was told that it works pretty good even under XEN hypervisor.

Job Monarch is an addon to the Ganglia Monitoring System that provides batch job monitoring and archiving plus a graphical overview of clusters and assorted batch systems. Fully supported batch system: Torque, PBS and SLURM. Experimental: LSF, SGE

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.

GenesisAE defines and implements an application environment for portable, network-transparent and secure applications. GenesisAE is based on a QNX-like (S/R/R) microkernel and on basic servers (providing device I/O, a database, ...)

Geneur is an Open Source scheduler for GRID. It is based on variation of genetic algorithms. Geneur uses backfill scheduling algorithm to create first genetic population.

Glass is a library for distributed computing. It's written in C++ and widely portable.

GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space. The links provided contain word vectors obtained from the respective corpora. If you want word vectors trained on massive web datasets, you need only download one of these text files! Pre-trained word vectors are made available under the Public Domain Dedication and License. If the web datasets above don't match the semantics of your end use case, you can train word vectors on your own corpus. The demo.sh script downloads a small corpus, consisting of the first 100M characters of Wikipedia. It collects unigram counts, constructs and shuffles cooccurrence data, and trains a simple version of the GloVe model. It also runs a word analogy evaluation script in python to verify word vector quality.