Modeling a Large Scale Data Base.

Abstract

This document reports the methods and results of a study of a large database through use of modeling concepts and simulation software. The simulation software had been developed using the concepts of the four level structure of the Data-Independent Accessing Model (DIAM) and the nomenclature and concepts of the Relational Model. The study was undertaken to assess the feasibility of applying these concepts to modeling a large existing database--in this case, the USAF's PACER database--and to demonstrate the use of existing components of query compiler software used to implement the concepts. The report describes a model of the information content of a subset of the PACER database; the model is expressed as n-ary relations. In a subsequent phase of the study, the investigators developed a model of the access paths in the PACER system. The model uses the 'strings' of the DIAM descriptive technique. Based on analysis of the results, the author concludes that DIAM concepts enhanced by Relational Model nonmenclature can serve well as the basis for study of large databases and that prototype software correctly compiles all paths applicable to an input query.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1979
Accession Number
ADA069470

Entities

People

  • T. W. Connolly

Organizations

  • Martin Marietta

Tags

Communities of Interest

  • C4I
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Application Software
  • Classification
  • Computer Programming
  • Computers
  • Data Management
  • Data Processing
  • Database Management Systems
  • Databases
  • Information Science
  • Information Systems
  • Language
  • Notation
  • Operating Systems
  • Relational Database Management Systems
  • Simulations
  • Simulators

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Software Engineering.
  • Theoretical Analysis.