Gaussian Approximations to Service Problems: A Communication System Example.

Abstract

Messages arrive at a group of service channels in accordance with a time-dependent Poisson process. An arrival either (1) immediately begins k-stage Markovian service if an empty channel is reached, or (2) balks and enters a retrial population if the channel sought is busy. Diffusion approximations to the number of messages in service (each stage) and in the retrial population are derived by writing stochastic differential (I+0) equations. Steady-state distributions are found and compared with certain simulation results.

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1975
Accession Number
ADA013486

Entities

People

  • Donald P. Gaver Jr.
  • John P. Lehoczky

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Communication Systems
  • Diffusion
  • Equations
  • Steady State

Readers

  • Computer Programming and Software Development.
  • Facility/Structural Engineering.
  • Mathematical Modeling and Probability Theory.