Open Source Python Distributed Computing Software

TaskManager is an open source infrastructure software for distributing and managing calculation jobs in a Unix computer cluster environment. The TaskManager was designed to control the utilization of a set of hosts even if you are not the administrator of the system. The hosts are embedded in a Unix environment and the user's home directories are mounted on each host. The hosts may have different numbers of CPUs/cores and different kernels. Keep in mind that a user is able to log into each host and calculate on it. However, he should use the TaskManager to submit calculation jobs to the cluster to avoid an overload of the hosts. Jobs which are under the control of the TaskManager are executed on a host of the computer cluster with the rights of the respective user to ensure that the executing jobs have the permission to access the user's files.

An implementation of the Open Group's Application Response Measurement (ARM) Version 4 standard. The ARM standard describes a means of breaking an application down into it's constituent transactions, and measuring response time across multiple tiers.

The goal of this project is to learn about and develop an AI. Current path is using a bot on AIM.

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.

Cheshire3 is a fast Z39.50, SRW, XML search engine, written in Python for extensability and using C libraries for speed. Next generation of the Cheshire system (http://cheshire.berkeley.edu) and designed around a distributable, object oriented model.

Cloud Target is a front-end to the python scripts that google uses to create, run and upload projects to its App Server system. This .NET application is based on the OSX front-end provided by Google in the SDK.

Dispyte is an expendable, fault tolerant task scheduler which distributes computationally expensive tasks across a heterogeneous network.

DPytHOS is a means for administrators of large networks to both monitor and manage the servers under their control. DPytHOS is implemented in python and uses a generic database back-end (with MySQL supported and MS-SQL 2000 supported via XML)

Experiment Design and Administration for Computer Clusters. Latest source code on http://github.com/edacc

This work has as central objective the conception of an architecture for the information access from a Context Awareness Service of EXEHDA, from mobile devices. This architecture, named EXEHDA-AD, will be distributed with some software components dedicated to the integration with the EXEHDA services, and others to promote the functionalities to the users of mobile devices. Was selected the Android platform for the development of the mobile part of the EXEHDA-DA software architecture. In the text area there is a techinical report where is done the appropriation of the concepts referring to Ubiquous Computing and Context Awareness, being the same synthesized in this document. The central characteristics of the middleware EXEHDA were too revised. The EXEHDA-AD modeling was evaluated by prototyping, which presented satisfactory results, indicating positively by the continuity of the research efforts in this direction.

HaDeS is a deployment system for large scale installation. Designed to be scalable with respect the number of nodes and agnostic with respect the OS deployed, it has a Web Service interface that allows an easy integration in complex SOA systems.

This project provides a fast distributed system for image processing, written in Python. It aim is to be used as service to PHP, Perl and Python application servers.

Platform for parallel computation in the Amazon cloud, including machine learning ensembles written in R for computational biology and other areas of scientific research. Home to MR-Tandem, a hadoop-enabled fork of X!Tandem peptide search engine.

iROS is a meta-operating system for technology-rich "interactive rooms". The core components (Event Heap, DataHeap, iCrafter) provide communication, data storage, and service management for an iRoom.

The Job Jar is a simple batch queuing system for Unix. Its main distinguishing feature is that there is no central daemon. Instead, an arbitrary set of workers cooperatively claim jobs from a central directory. A job is any Unix executable file.

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.

Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.

This project collects the software developed as part of the OSG Scalability, Reliability and Usability Area.

OpenLC is a set tools designed to facilitate benchmarking and stress testing of a wide variety of information servers (WEB, Email, FTP, LDAP, ...). A XML-RPC API is offered for developers interested in creating clients that query the services provid

PBS Cluster Viz is a project to display information useful to admins and users about a computing cluster managed by a PBS-compatible resource manager. Information includes load and job distribution. Interactive as well as static output is available.

Pools of Virtual Boxes (POVB) aims to make it easy to deploy Linux Condor pools on Windows based machines using Virtual Box virtual machines.

Powow is an open-source TCP packets exchange mesh. It allows many TCP clients to connect to a "Powow cloud" (several instances of Powow), to exchange data. Powow is a TCP socket server like Palabre or Oregano.

Python DB driver for Java JDBC. Allows CPython programs to use a java JDBC driver to connect with a database server. It's API is Python DB compliant. ZJdbcDA (a zope database adapter) is also included.

PyMW is a Python module for parallel master-worker computing in a variety of environments. With the PyMW module, users can write a single program that scales from multicore machines to global computing platforms.

Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.