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A dynamic task scheduler to execute job chains in a fault-tolerant way
This project provide an easy to deploy service oriented task-scheduling architecture capable to achieve a fault-tolerant job execution on dynamics networks.
The system use:
- A robust Job scheduler: Quartz Enterprise scheduler (for more info see http://www.quartz-scheduler.org)
- A framework to build reliable dynamic distributed systems: Apache River framework (for more info see http://river.apache.org)
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.
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...It focuses on distributed computing and data gathering in Internet environment. Intended for smaller projects requiring couple hundreds of computers gathered together for a master-worker like jobs.
This project aims at developping a shared tasks computing system using Java, Jini and javaspaces. A master can split a big task in several tasks which will be executed by workers which have joined the federation using thier idle CPU time. A monitoring app
RAFT-Net is a Fault Tolerant Parallel Distributed Framework.
Using a Master-Worker scheme, the framework transparently
distributes workunits to workers (drones). These workers can join and
leave and as such, the network is very flexible. A modified