Sensor Data Analysis Framework Research Roadmap: Integrating Stream Processing and Persistent Data Retrieval

Abstract

Many sensors produce large volumes of data regarding objects that change with respect the location and time. Evaluating this stream of information in a timely fashion requires the integration of current and historical data. The Sensor Data Acquisition Framework (SDAF) research project seeks to understand and investigate various approaches to integrating streamed and historical sensor data with respect to spatio-temporal queries. In addition, techniques for addressing scalability, efficiency and data quality for integrated high volume sensor streams will be assessed.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2006
Accession Number
AD1106880

Entities

People

  • Brigit Schroeder
  • Dan Potter
  • Don Landing
  • Eddy Cheung
  • Mark Munson
  • Seth Landsman
  • Stephan Nadeau
  • Virgil Zetterlind

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Data Acquisition
  • Data Analysis
  • Data Integration
  • Data Sets
  • Database Management Systems
  • Databases
  • Ground Moving Target Indicators
  • Information Processing
  • Moving Target Indicator Radar
  • Moving Targets
  • Object-Oriented Database Management Systems
  • Precision
  • Relational Databases
  • Sensor Fusion
  • Storage
  • Streaming Media

Readers

  • Distributed Systems and Data Platform Development
  • Geospatial Intelligence and Artificial Intelligence Analytics