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yadra - yet another distributed rendering application
A Network-Render-Tool for Blender. A Java based, platform-independent tool, for rendering animations of blender in a network. Easy setup (no SMB/CIFS-Connections). Web-Interface.
LEMMing stands for Linux Enterprise Management and Monitoring. It's an environment that aims an easy way to take care of your HPC cluster. It is based WebServices. That lets you LEMMing multiple clusters throght the same interface.
The Instrument Element is a Grid/Cloud component that provides the computational/data Grid with an abstraction of real instruments, and Users with a more interactive interface to control them. More information: http://instrumentelem.sourceforge.net/
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TripleF is a middleware for a Distributed File System, developed totally in Java. It allows highly availability, reliability and scalability to the system, through the data replication, resulting in system's highly fault tolerance.
The SPASE Registry Services is a metadata sharing system for Virtual Observatories. It is a collection of servlets that utilize SPASE compliant resource descriptions to provide access to both the metadata and data.
Web Services Interoperability Profile Environment is a toolkit for managing and using "service profiles" needed for SOA realisation. Core is an inheritance resolver library, used by a document generator and conformance test suite generator.
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Parallelizable is a tiny framework in complement for java.util.conccurent api. Parallelizable is an abstract class to extend for making asynchronous parallel execution on a synchronous task. Very usefull if task often calls a very long process.
LANGlobal Server is an advanced Java RMI server implemented in Java. It is a platform on which developers can develop and deploy a wide range of distributed Java applications. It has a flexible and extensible model.
WSRF-compliant tools and services for data mining in grid computing environments, based on: Globus Toolkit 4, Condor and Triana workflow system. Learn more at: http://www.datamininggrid.org Copyright (c) 2008 DataMiningGrid Consortium.
Distributed Computing Over P2P Networks(DisCo) is focused to provide a java framework for programmers to develop distributed software application with lesser or no time spent on distributed computing part.
JMS/Joram implementation of the Bully election algorithm. It is a library to be used by a process' implementation to make it transparently manage coordinator's elections, while it carries out business logic. A sample application is included.
Tpl makes it easy to serialize your C data using just a handful of API functions. The data is stored in its native binary form for maximum efficiency. C, Perl and XML supported. Data is portable across CPU types and OS's from Unix to Mac to Windows.
Titan allows service-oriented processing of context recognition applications on Wireless Sensor Networks. It includes an execution environment developed for TinyOS and a Java ME (Personal Profile) Network Manager intended to be run on a mobile phone.
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.
This project provides an instant java cluster, a batch-processing application for tasks written in Java with automated class distribution. Go to http://javacluster.sourceforge.net/ to see more!
A Java library and supporting modelling/execution tools that combine Robin Milner's formal Bigraph model with the indirect communication abstraction of Gelernter's tuple-space, i.e. a coordination system based on bigraphs.
Pyxida provides distributed applications with network coordinates, a simple method to predict latencies between hosts in a network. AsyncJ is a general-purpose asynchronous NIO library designed for efficient distributed programming without threads.
DKU is an embedded parallel language, or "piggy-back" language that uses function calls to invoke the language's execution model. It tunes task-size to the hardware while hiding hardware details for high performance portability of parallel code.