The Superposition of Two Independent Markov Renewal Processes,

Abstract

In the paper the author investigates a problem arising in the theory of queueing networks, namely, the superposition of two independent Markov renewal processes defined on countable state spaces. It is shown by suitably defining random variables that the superposed process is a Markov renewal process defined on a state space which is essentially the cross product of a countable set with the non-negative real numbers. For the superposed process, the author obtains results dealing with recurrence properties of events, exhibits a stationary probability measure for the underlying Markov chain, and investigates the existence of a limit of the probability measure of the associated semi-Markov process. Finally, the author briefly discusses the implications of these results to the theory of queueing networks. (Modified author abstract)

Document Details

Document Type
Technical Report
Publication Date
Sep 15, 1973
Accession Number
AD0775212

Entities

People

  • W. Peter Cherry

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Markov Chains
  • Markov Processes
  • Mathematics
  • Probability
  • Random Variables
  • Real Numbers
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Approximation Theory.
  • Computational Modeling and Simulation
  • Technical Research and Report Writing.

Technology Areas

  • Space