Statistical Efficiency of Regenerative Simulation Methods for Networks of Queues.

Abstract

When developing simulation methodology, it is important to be able to assess the statistical efficiency of proposed estimation procedures. This paper is concerned with the assessment of the statistical efficiency of regenerative methods for simulation of networks of queues with general service times. Our estimation procedures are applicable to networks that have a single state for passage times; regenerative cycles are defined in terms of the single state. We provide a comparison of two methods for estimation of passage time characteristics in closed networks with priorities among job classes. Passage times(informally the times for a job to traverse a portion of a network) are important in computer and communication system models where they represent job response times.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1982
Accession Number
ADA119154

Entities

People

  • Donald Iglehart
  • Gerald S. Shedler

Organizations

  • Stanford University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • California
  • Classification
  • Communication Systems
  • Computers
  • Efficiency
  • Equations
  • Identities
  • Intervals
  • Markov Processes
  • Military Research
  • Observation
  • Probability
  • Random Variables
  • Security
  • Simulations
  • Stochastic Processes

Fields of Study

  • Computer science
  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Computer Networking
  • Electrical Engineering