Performance Evaluation of a Database System in a Multiple Backend Configurations,

Abstract

The aim of this performance evaluation is twofold: (1) to devise benchmarking strategies for and apply bencmarking methodologies to the measurement of a prototyped database system in multiple backend configurations, and (2) to verify the performance claims as projected or predicted by the designer and implementor of the multi-backend database system known as MBDS. Despite the limitation of the backend hardware, the benchmarking experiments have proceeded well, producing startling results and good insights. By collecting macroscopic data such as the response time of the request, the external performance measurements of MBDS have been conducted. By collecting microscopic data such as the time entering and leaving a system process, the internal performance measurements of MBDS have been carried out. Methodologies for constructing test databases, directories, and requests have been devised and utilized. The performance evaluation studies verify that (a) when the database remains the same the response time of a request can be reduced to nearly half, if the number of backends and their disks is doubled; (b) when the response set of a request doubles, the response time of the query remains nearly constant, if the number of backends and their disks is doubled. These were the performance claims of MBDS as predicted by its designer and implementor. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1984
Accession Number
ADA148192

Entities

People

  • D. K. Hsiao
  • D. S. Kerr
  • J. Menon
  • P. R. Strawser
  • S. A. Demurjian

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Census
  • Computer Science
  • Computers
  • Databases
  • Directories
  • Host Computers
  • Information Science
  • Measurement
  • Midrange Computers
  • Military Research
  • Specifications
  • Standards
  • Statistics
  • Technical Information Centers
  • Test And Evaluation
  • Transitions

Fields of Study

  • Computer science

Readers

  • Educational Psychology
  • Instructional Design and Training Evaluation.
  • Software Engineering.