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Java explicit multiprocessing, SSI and cluster management tool
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▪ If the code in question is not present on the target machine, it can be dynamically uploaded.
▪ JMP allows setting affinity for a new process explicitly instead of relying on the OS.
▪ JMP also contains a simple cluster management / load balancing tool called JMP node.
▪ JMP = SSI + load balancing + multiprocessing API
Two of the most obvious JMP use cases are:
a. All kinds of data parallelism (exhaustive search algorithms, optimization problems).
b. Server-side load balancing between available CPUs.
See project Wiki for more.
SAFMQ: Store and Forward Message Queue, message oriented middleware. Uses include Assured Async Messaging, SOA, Delayed/Batch, and Cluster/Grid Computing. The SAFMQ server provides cross platform communication among C++, PHP, Java, and .NET clients.
An open source (Apache 2 license) file server software with a RESTFul web service for file management in a cluster of nodes. Including 4 set of API
- Store API: Upload, download files and directories
- Process API: Managing the long term process runs
- Glacier API: Uploading from the server to Glacier
- Cluster API: Manage the nodes in the cluster
Scarlet is an extension for Atlassian JIRA, the leading Enterprise issue tracking and management software, allowing easy clustering of JIRA application instances, ensuring both high availability and linear scalability.
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The JotScale project is a cluster of servers implementing a highly scalable object storage system combined with a high performance http server and a subscription system. Jotscale now depends upon Mojasi (same trunk). Pure Java. Source only.
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.
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!
the bbsc - BinBase Cluster System is a specification for the distributed calculation of jobs using j2ee and a cluster. We provide an implementation for Rocks Linux Cluster (Sun Grid Engine).
This project has been merged into the BinBase system a couple of years back.
A light weigth high performance cluster server to link several Java machines into one logical unit. Medusa does not compete with J2EE servers but allows clustering of standard Java code for fail-over, redundancy and processing power.
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POV-Ray Animations for everyone from everyone.
Use the power of many Computer connected to the Internet to raytrace long or complex Animations with the freeware Raytracer POVRay (http:/www.povray.org/). Each Client gets a "work unit" from the Server an
A small client/server/node application written in java for distributed computing, or clustering. you write your programs to use this system, you create an object with a meathod to run and send it to the server that assign it a node.
JCuckoo is the project aimed at creating a simple and universal platform for distributed computing and object migration in Java. JCuckoo will enable creating both small-scale (cluster-like) networks and wide-area (even worldwide) computing.
The software provides a means to form a simple Java cluster. It can be also viewed
as a parallel computing library in Java. The project is based on the following
<a href='http://www-106.ibm.com/developerworks/java/library/j-super.html'>article</a>
Generic clustering/load-balancing platform (over a LAN or internet) using java based P2P Aorta workers that execute java "tasklets". Various tasklets can be implemented to solve fractals, process images, render webpages, crack RSA "brute force".
The openMosixApplet lets you watch the realtime load of your openMosix cluster. It consists of a local daemon which listens for connections by applets. The applet uses chart2D to provide a good-lookin' feeling.
MassiveJava is a Java-based environment for parallel programming. Lithium is able to execute the parallel application using a cluster or a network of workstations. A user is able to program a parallel application without take in account problem like sche