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US Army Research Laboratory Visualization Framework Design Document
Author(s) -
Will Dron,
Mark Keaton,
J. P. Hancock,
Mathew Aguirre,
Andrew Toth
Publication year - 2016
Language(s) - English
Resource type - Reports
DOI - 10.21236/ad1002309
Subject(s) - visualization , computer science , data visualization , data science , computer graphics (images) , world wide web , data mining
: Visualization of network science experimentation results is generally achieved using stovepipe solutions tailored to specific experiments and performance metrics. Based on ZeroMQ, the US Army Research Laboratory (ARL) Visualization Framework presents a language-agnostic, platform-independent approach to connecting data published by probes to visualizations using a publish/subscribe mechanism. The framework provides for automated discovery of probes by the visualization without prior knowledge of the probes. This report documents the ARL Visualization Framework system design and specific details of its implementation.

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