Protect your business with AI policies and data loss prevention in the browser
Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
Download Chrome
Automated RMM Tools | RMM Software
Proactively monitor, manage, and support client networks with ConnectWise Automate
Out-of-the-box scripts. Around-the-clock monitoring. Unmatched automation capabilities. Start doing more with less and exceed service delivery expectations.
Loki Render allows you to create your own render farm, serving Blender render jobs to a group of computers. Loki is easy to setup and runs on Linux, Windows or Mac, making it a quick and flexible distributed network rendering solution!
Elastic Management of Tasks in Virtualized Environments is in charge of managing virtual machines created in Xen by creating full customized virtual machines and allowing executing tasks inside this.
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)
Total Network Visibility for Network Engineers and IT Managers
Network monitoring and troubleshooting is hard. TotalView makes it easy.
This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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.
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.
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.
open-fdc is short for "Open Framework for Distributed Computing". This framework allows developers to create "tasks" which are executed by the engine. A task is similar to a work unit type in the SETI project.
Acelet-Scheduler with SuperScheduler and SuperWatchdog is a Javatask scheduler with daemon and GUI for system and application job scheduling, can schedule tasks in a distributed environment. Holiday adjustable. Works out-box. See http://www.acelet.com
My application is a Grid Computing application that interfaces POV-Ray (http://www.povray.org/) with the framework JPPF (http://www.jppf.org) . With my JppfPov you can use the potentialities of a grid computing network to make rendering task.
DolphinNet is an easy to use server and distributed processing library for Java. It uses objects to communicate between a client and server. DolphinNet approaches this task using object serialization over a standard TCP/IP connection.
Blubber system is an Eclipse RCP application for distributed systems modeling. Designed for university researches and inlcudes: task graph editor; graph transformation tools; graph modelling on distributed system; real-time modelling on GerdaFramework.
Java package containing architecture to distribute CPU intensive processing tasks across the internet. A generic client will be capable of running any task the server provides it, automatically updating the code it runs.
JCGrid is an easy-to-use tools for real-world grid-computing. It requires only to install Java Runtime and you can easy split your cpu-intensive task among several Workstations/PC/Mac/etc. It includes support for POVRay and MandelGrid as usage examples.
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