Empirical Methods for Estimating Workload Capacity

Abstract

We explore experimental procedures for comparing the capabilities of complex discrete event service systems. Instead of measuring system capability by analyzing or simulating the system with a constant rate of arriving work, system capability is measured as the maximum rate of work arrival for which the system has a steady state. Hence, we seek the arrival rate which causes the system to be at full capacity. This rate is arguably the best indication of the service system's capability. We treat both work-conserving and non-work- conserving service systems, using traditional and specialized measures of system performance.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1992
Accession Number
ADA260088

Entities

People

  • Michael P. Bailey

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Data Science
  • Detection
  • Experimental Design
  • Information Science
  • Intensity
  • Intervals
  • Marine Corps
  • New York
  • Operations Research
  • Probability
  • Queueing Theory
  • Random Variables
  • Sampling
  • Schools
  • Statistical Analysis
  • Steady State
  • Trajectories

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Maritime Combat Support and Expeditionary Logistics.
  • Parallel and Distributed Computing.