A State Space Truncation Procedure for Queueing Systems.

Abstract

In the numerical analysis of queueing systems with large state space, its reduction to computationally manageable dimensions becomes essential. Presently this is accomplished by using truncation rules based on the magnitude of transition probabilities. This paper develops a method whereby this truncation is done to satisfy certain preassigned conditions. Noting that the fundamental matrix of a finite Markov chain gives mean first passage times, a related stopping rule is derived such that its rate of convergence relative to the state space dimensions is maintained within a preassigned value.

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1975
Accession Number
ADA006684

Entities

People

  • Sagi N. Raju
  • U. Narayan Bhat

Organizations

  • Southern Methodist University

Tags

DTIC Thesaurus Topics

  • Convergence
  • Markov Chains
  • Markov Processes
  • Mathematics
  • Numerical Analysis
  • Probability
  • Random Variables
  • Transitions
  • Truncation

Readers

  • Mathematical Modeling and Probability Theory.
  • Theoretical Analysis.

Technology Areas

  • Space