US Army Research Laboratory Visualization Framework Design Document

Report No. ARL-TR-7561
Authors: Will Dron, Mark Keaton, John Hancock, Mathew Aguirre, and Andrew J Toth
Date/Pages: January 2016; 40 pages
Abstract: 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.
Distribution: Approved for public release
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Last Update / Reviewed: January 1, 2016