Open Source Python Distributed Computing Software

Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. Supports clusters up to 2000 nodes in size.

The purpose of the project is to develop a portable programming framework that facilitates distributed and multi-threaded programming for C++, Java, and Python. MADARA was originally developed as an agent-based middleware specifically for real-time, distributed artificial intelligence, but is now more general purpose for distributed timing, control, knowledge and reasoning, and quality-of-service. MADARA is composed of several tools and middleware, and the main entry point into the system is the Knowledge and Reasoning Language (KaRL) Engine, which provides a real-time scripting language for nanosecond execution times hooked into a flexible transport layer for distributed reasoning. The KaRL engine also supports object-oriented C++, Java, and Python programming through Containers, classes that provide abstractions and references for variable location within the KaRL Knowledge Base. This project is currently in process of being ported from http://madara.googlecode.com.

isectd is a middleware daemon that provides many-to-many client-to-server connectivity. Supports multiplexing requests to multiple server processes over IP networks.

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.

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)

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.

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

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.

A metering and charge-back mechanism based on real time pricing (RTP) for the cloud services. This project caters to the need of a dynamic pay-per-use model in the cloud environment.

The UnifiedSessionsManager supports the integrated management of user sessions within Private-Clouds, comprising heterogeneous IT landscapes of various physical and virtual machines, hypervisor management, and virtual user sessions with remote desktops. Extracted documents see https://sourceforge.net/projects/ctys-doc.

Virtual NetManager WAS a GTK frontend for VDE and QEMU. This project has been recently merged with Qemulator, and became Check the home page for the new project!!

WatchTower is a cloud server monitoring and management tool. This is actually a suite of tools that includes a dashboard and associated RESTful web services required for managing the servers and services. The dashboard uses PHP/MySQL (requires php5+), html, and css. It's all open source and very easy to work with and make changes. The client I'm using is included and is written in python. Currently tested with Python 2.4 and 2.6, but should work with any version. I'm not using anything special. My plans also include monitoring/managing of Windows servers through the same python client, but compiled into a working exe, but I will work on that when the Linux client is finished first.

Are you maitaining many machines and bored with the tedious operation of logging to those machines one by one just for checking the machine's status? Or are you losing patient for your simple script that have to run command in those machines in sequence? The corunner is just for those senarios. It's designed to speed up execution in your machines. It can executes command in handreds of or thousands of machines concurrently. Provide it with your files and command and the machines' location, it will do everything for you. Besides that, it monitors every process in the remote machine and displays that in your controller. Through this, you can learn about all progresses in the remote machines easil y. And there is also one additional tool that make you transport files from or to those machines concurrently. That will promote your efficiency greatly.

This tool lets you login with SSH to a group of machines and interact with them as if they were one machine. Each command that you enter is run in parallel on all machines in the group. The output from each machine is printed separately.

PyDSH is a remote administration tool, consisting of pydsh and pydcp. Pydsh allows you to run a command on multiple hosts in parallel over RSH, SSH or Telnet, OR manage your SSH public keys. The pydcp command allows copying files to/from multiple hosts.