Weak Convergence in Queueing Theory.

Abstract

In the last ten years the theory of weak convergence of probability measures has been used extensively in studying the models of applied probability. By far the greatest consumer of weak convergence has been the area of queueing theory. The paper represents an attempt to summarize the experience in queueing theory with the hope that it will prove helpful to mathematical epidemiologists. The paper is organized into the following sections: queues in light traffic, queues in heavy traffic, queues with a large of servers, continuity of queues, rates of convergence, and special queueing models. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1972
Accession Number
AD0748217

Entities

People

  • Donald Iglehart

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Consumers
  • Continuity
  • Convergence
  • Probability
  • Queueing Theory
  • Weak Convergence

Readers

  • Parallel and Distributed Computing.
  • Statistical inference.
  • Theoretical Analysis.