Benchmarking Preparation for and Aggregate and Sorting Retrievals in the Multi-Backend Database System.

Abstract

The scope of this thesis is twofold. The first is to provide a methodology for the performance evaluation of the Multi-Backend Database System, MBDS. The second is to describe the implementation and integration for two new database operations, the aggregate retrieval and the sorted retrieval. The thesis provides the essential tools for the successful evaluation of MBDS. The performance evaluation of MBDS is necessary to validate the performance gains in terms of response-time reduction, and capacity growth in terms of response-time invariance. The implementation and integration of the aggregate retrieval and sorted retrieval provide two advanced data retrieval operations to MBDS. The aggregate retrieval operation allows the user to obtain extremely useful data not inherently available in the data itself. The sorted retrieval operation allows the user to retrieve data and have it presented in a more meaningful fashion. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1987
Accession Number
ADA183930

Entities

People

  • Dana S. Majors
  • Frank E. Kelbe

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • California
  • Classification
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Database Management Systems
  • Databases
  • Debugging
  • Mainframe Computers
  • Measurement
  • Microsecond Time
  • Operating Systems
  • Software Testing
  • Test And Evaluation
  • Test Methods
  • United States

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design