Bounds and Approximations for a Generalized Measure of Performance in the G/N/1/N Queue.

Abstract

A generalized measure of performance is defined as a weighted combination of the ergodic queue length distribution where the weights are general functions of the system parameters. The paper presents a sequence of upper and lower bounds for this measure of performance in the G/M/1/N queue with FIFO discipline. The bounds are used to derive a sequence of approximations with bounded errors. The upper and lower bounds are shown to converge to their corresponding exact values. The technique used is based on the imbedded Markov chain analysis and considers only subsets of the steady state equations to derive the bounds. Initial computational experience is encouraging and has indicated that the approximations are viable for heavy and medium traffic conditions. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1978
Accession Number
ADA053497

Entities

People

  • Mohamed A. Shalaby
  • U. Narayan Bhat

Organizations

  • Southern Methodist University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Coefficients
  • Computer Programming
  • Engineering
  • Equations
  • Equations Of State
  • Linear Programming
  • Markov Chains
  • Operations Research
  • Probability
  • Random Variables
  • Sequences
  • Steady State
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Systems Analysis and Design