A Heuristic Approach to Computer Systems Performance Improvement, I: A Fast Prediction Tool

Abstract

The complexity of current computer systems strongly inhibits management usage of analytic modeling techniques in seeking 'good' computer system performance. As a result, heuristically-based approaches are in order. Implementation of such an approach requires: (1) a means for determining the performance of a given computer system processing a given collection of jobs in accord with a specified schedule, (2) a means for achieving an improved system from a given system, and (3) a technique for determining when to stop this iterative process. The objective of this paper is to describe an analytically driven approach to computer system performance prediction which can achieve execution speeds of approximately two orders of magnitude faster than real time for production batch installations while providing detailed information on device utilizations and delays. Thus, it provides a basic required capability for the development of heuristic approaches to computer system performance improvement.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1975
Accession Number
ADA008152

Entities

People

  • Stephen R. Kimbleton

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Displays
  • Information Processing
  • Information Science
  • Information Systems
  • Military Research
  • Simulations
  • Simulators
  • Specifications
  • Standards
  • Statistics
  • Systems Engineering
  • Test And Evaluation
  • Workload

Fields of Study

  • Computer science
  • Engineering

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Computer Science.
  • Systems Analysis and Design