Monitoring and Mining Data Streams

Abstract

This work is preliminary since funding for this piece was only received 6 months ago. We have so far managed to complete a revision of the Borealis code base making it much more usable for general applications. We have worked closely with personnel from USARIEM to identify special processing needs for PAN's in a WPSM setting and have redesigned major portions of the Borealis code base to reflect this. It takes a novel position with respect to dealing with failure in a sensor network. The Aurora stream processing engine was a very valuable exercise to gain understanding about the basic technical questions that must be addressed by any stream processing engine. These issues included memory management, tuple scheduling, and load control. Aurora was designed to run on a single server, and its primary optimization goal was low-latency processing. This set of assumptions was chosen because it gave us the best opportunity to study the fundamentals, and it was useful for a large class of monitoring applications.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2004
Accession Number
ADA431589

Entities

People

  • Stanley B. Zdonik

Organizations

  • Brown University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Biomedical Research
  • Computer Programs
  • Control Systems
  • Data Management
  • Detectors
  • Energy Consumption
  • Engineering
  • Environment
  • Fault Tolerance
  • Load Control
  • Load Distribution
  • Monitoring
  • Networks
  • Resource Management
  • Rhode Island
  • Sensor Networks

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Distributed Systems and Data Platform Development
  • Space/Atmospheric Physics.