Search Results for "master"
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Showing 7 open source projects for "master"
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JPPF
The open source grid computing solution
JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid. -
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Dynamic Task Scheduler
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) -
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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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DBReplicator is a powerful open-source java application for network-based multi-master heterogeneous database replication or filtered synchronization.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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.
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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
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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
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