Design of Relational Database Benchmarks.

Abstract

Performance measurements of a database machine reflect not only the processing power of the machine, but also the size and structure of the database. It is therefore useful to construct databases for performance measurements of database machines. Furthermore, it is useful to utilize synthetic data, such that the volume of the reply can be predicted for a given query and the structure and attributes of the database can be varied for intended test queries. Conducting measurement studies using a synthetic database contributes to the generality of the results when different test queries are employed. A parameterized program is described herein which can be used to generate various relations for a synthetic database. The experiences in constructing and using the database generator are described. It is suggested that given sufficient information on real-world databases the generator may be useful for modeling them as well as for creating databases for benchmark tests. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1983
Accession Number
ADA133651

Entities

People

  • Vincent Courtney Stone

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Access Time
  • Application Software
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Data Processing
  • Database Management Systems
  • Databases
  • Generators
  • Mainframe Computers
  • Measurement
  • Operating Systems
  • Relational Databases
  • Schools
  • United States
  • United States Naval Academy

Fields of Study

  • Computer science

Readers

  • Aerospace Test and Evaluation
  • Computational Modeling and Simulation
  • Neural Network Machine Learning.