On Homogeneity and On-Line-Off-Line Behavior in M/G/1 Queueing Systems.

Abstract

Operational analysis replaces certain classical queueing theory assumptions with the conditions of 'homogeneous service times' and 'on-line=off-line behavior.' In the general case, it has been conjectured that these conditions hold as t-->infinity only if the service times are exponentially distributed. In this paper, we show that this is correct for stable M/G/1 queueing systems. We also state dual results for inter-arrival times in G/M/1. Finally, we consider the relationship between the operational quantities S(n) and the mean service time in M/G/1. This relationship is shown to depend on the form of the service time distribution. It follows that using operational analysis to predict the performance of an M/G/1 queueing system will be most successful when the service time is exponential. Simulation evidence is presented which supports this claim. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1980
Accession Number
ADA083827

Entities

People

  • Raymond M. Bryant

Organizations

  • University of Wisconsin–Madison

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Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Equations
  • Errors
  • Homogeneity
  • Markov Chains
  • Mathematics
  • North Carolina
  • Numbers
  • Observation
  • Probability
  • Probability Distributions
  • Queueing Theory
  • Random Variables
  • Sequences
  • Simulations
  • Stochastic Processes
  • Theorems
  • United States

Fields of Study

  • Mathematics

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  • Mathematical Modeling and Probability Theory.
  • Mathematics or Statistics
  • Theoretical Analysis.