US Army Research Laboratory Visualization Framework Architecture Document

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 data sources to visualizations using a publish/subscribe mechanism and ZeroMQ. The framework provides for automated discovery of data sources by the visualization without prior knowledge of the data sources. This report documents the ARL Visualization Framework system design and specific details of its implementation.

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Document Details

Document Type
Technical Report
Publication Date
Jan 11, 2018
Accession Number
AD1045149

Entities

People

  • Andrew Toth
  • Chien Hsieh

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Buildings And Structures
  • Central Processing Units
  • Command And Control
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Consumers
  • Data Visualization
  • Environment
  • Executives
  • Information Science
  • Language
  • Military Research
  • Network Science
  • Platforms
  • Programming Languages
  • Visualizations

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Technical Research and Report Writing.