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An Introduction to Queueing Theory Modeling and Analysis in Applications /

This introductory textbook is designed for a one-semester course on queueing theory that does not require a course on stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, the work provides a sound foundational introducti...

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Main Author: Bhat, U. Narayan. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2015.
Edition:2nd ed. 2015.
Series:Statistics for Industry and Technology,
Subjects:
Statistics .
Probabilities.
Mathematical models.
Sequences (Mathematics).
Industrial engineering.
Production engineering.
Statistical Theory and Methods.
Probability Theory and Stochastic Processes.
Mathematical Modeling and Industrial Mathematics.
Sequences, Series, Summability.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Industrial and Production Engineering.
Online Access:https://doi.org/10.1007/978-0-8176-8421-1
Table of Contents:
  • Introduction
  • System Element Models
  • Basic Concepts in Stochastic Processes
  • Simple Markovian Queueing Systems
  • Imbedded Markov Chain Models for M/G/1 and G/M/1 Queues
  • Extended Markov and Renewal Models
  • Queueing Networks
  • Matrix-Analytic Queueing Models
  • The General Queue G/G/1 and Approximations
  • Statistical Inference for Queueing Models
  • Decision Problems in Queueing Theory
  • Queueing Theory Applications in the Analysis of Manufacturing Systems
  • Queueing Theory Applications in the Analysis of Computer and Communication Systems
  • Simulating Queueing Systems.

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