Benchmarking the Performance of a Cluster-Based Geospatial Database System

Abstract

The advent of inexpensive high performance computing clusters has opened the doorway to a wide range of applications that hitherto had been inconceivable. Such clusters can provide certain applications with a substantial boost in both compute and I/O performance. Therefore, it seems logical that Geographic Information Systems (GIS) applications would be an ideal fit for such systems. This paper presents a scheme to distribute geospatial data across several compute nodes in a cluster. Several variations of this scheme are presented and the performance of each is benchmarked by using various geospatial queries to retrieve the data.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA417530

Entities

People

  • Kevin B. Shaw
  • Mahdi Abdelguerfi
  • Venkata Mahadevan

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computer Science
  • Computers
  • Data Sets
  • Databases
  • District Of Columbia
  • Domain Specific Programming Languages
  • Geographic Information Systems
  • Geometry
  • High Performance Computing
  • Information Systems
  • Military Research
  • Networks
  • Operating Systems
  • Relational Database Management Systems
  • Servers (Computer Hardware)
  • Specifications
  • Standards

Fields of Study

  • Computer science

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Neural Network Machine Learning.
  • Systems Analysis and Design