Data Fusion of Geographically Dispersed Information: Experience With the Scalable Data Grid

Abstract

Test and evaluation (T&E) professionals today often face the distribution of data they need to use over significant distances. Some of these data sources are too large for easy transmission because of costs, delays, losses, security, and administrative burdens. The Information Sciences Institute (ISI) has been working with the Joint Forces Command on its transcontinentally distributed battlespace simulations, and they have conceived, architected, implemented, and tested a system that uses the data in place. This has been characterized as a scalable data grid that uses data cubes for rapid and focused retrieval. It is necessary that these data be available in a timely manner, organized for ease of access, securely stored, and easily manipulated for data mining. Suggestions are offered listing T&E situations to which the scalable data grid approach would seem applicable.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA539266

Entities

People

  • Craig E. Ward
  • Dan M. Davis
  • Ke-thia Yao

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • California
  • Computer Science
  • Computers
  • Data Fusion
  • Data Mining
  • Geographic Regions
  • High Performance Computing
  • Information Science
  • Jet Propulsion
  • Network Science
  • Operating Systems
  • Simulations
  • Synthetic Aperture Radar
  • Test And Evaluation
  • Throughput

Readers

  • Database Systems and Applications
  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy