Search Results for "java task tracker"
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Showing 6 open source projects for "java task tracker"
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The Systems Biology Ontology project (SBO) goal is to develop controlled vocabularies and ontologies tailored specifically for the kinds of problems being faced in Systems Biology, especially in the context of computational modeling. !!!! Important Announcement !!!! We have moved the curation and development of Systems Biology Ontology (SBO) to a git-hub repository https://github.com/EBI-BioModels/SBO. Hence, this SourceForge SBO project has also been retired. Please use the Git-Hub...
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MCloudSim/NovaCloudSim
a distributed cloud simulator written in Java
MCloudSim(formerly called NovaCloudSim) is a simulator written in Java for geographically distributed clouds. The software is modified from CloudSim 3.0, which is an open source data center simulator. All functions of CloudSim are reserved, and our newly added files are in the package org.cloudbus.cloudsim.nova. MCloudSim has following characteristics: (1) The overlay protocol can be freely replaced, and we have already ported Pastry, Kadmelia, Chord from PeerSim; (2) A Petri-Net workflow theory based task model is implemented to simulate distributed tasks; (3) A distributed cloud can be easily built by assembling and expanding the basic resource entities provided by the simulator... -
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http://www.isima.fr/~reuillon/index.php?option=com_content&task=category§ionid=4&id=13&Itemid=26 DistMe is a toolkit and a script environment to distribute stochastic simulations on distributed execution environements (clusters, calculation grids).
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Agent based model of organizations considering the interplay between the formal hierarchical structure and the process network emerging while the organization performs a task-set.
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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.
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SB-MASE is aimed at students and researchers in AI, for simulation and control of agents and robots. It uses task based decomposition and the subsumption architecture as its core control mechanisms and includes numerous possibilities for adding plug-ins.
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