Computer Aided Performance Engineering: Current State of the Art. Addendum to Final Technical Report,

Abstract

This is an addendum to the Final Technical Report submitted as a result of Phase I SBIR work awarded to Infopike, Inc. This addendum reflects the work done by us in assessing the state of the art in the field of Computer Aided Performance Engineering. Performance evaluation of computer and software systems has become a rapidly growing field with a growing number of tools being developed for analyzing various performance aspects of such systems. The literature on performance evaluation methodologies has also mushroomed with various proposals from researchers all over the world. This addendum presents the results of a survey conducted on automated performance analysis tools for computer systems. The survey includes measurement-based tools, analytical tools, simulation tools and visualization tools, and describes their properties and capabilities. The tools have been categorized based on their analysis capabilities and include system-oriented, process-oriented and module-oriented categories. The tools surveyed in this paper incorporate various techniques including simulation, modeling (Petri net, queuing, semi-markov etc.), measurement, visualization and emulation. We also present a new methodology for tool classification that aids system designers.

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Document Details

Document Type
Technical Report
Publication Date
Apr 30, 1997
Accession Number
ADA324030

Entities

People

  • Brian Mackay
  • Howard A. Sholl
  • Nagarajan Kandasamy
  • Ramesh M. Reddi
  • Reda Ammar

Tags

Communities of Interest

  • Cyber
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Application Software
  • Communication Systems
  • Computational Science
  • Computer Program Documentation
  • Computer Program Reliability
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Differential Equations
  • Network Science
  • Operating Systems
  • Parallel Computing
  • Parallel Processing
  • Performance Engineering
  • Programming Languages
  • Statistical Analysis

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computational Modeling and Simulation
  • Systems Analysis and Design