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9780306467349

An Introduction to Queueing Systems

by
  • ISBN13:

    9780306467349

  • ISBN10:

    0306467348

  • Format: Hardcover
  • Copyright: 2001-12-01
  • Publisher: Plenum Pub Corp
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Summary

This volume accomplishes the unique task of providing the reader with the analytical fundamentals for both single queues and queueing networks while keeping the description simple enough so that the results may be directly used for modeling and analysis. A very wide range of single-queue models has been covered, while networks are analyzed through a very comprehensive set of approximation algorithms ready to apply in modeling. The text was honed through years of research and teaching, and is an excellent tool for engineers and students who wish to apply queueing methods to study the performance of systems. For the table of contents, solution manual, and sample tests please visit the author's website at http://home.iitk.ac.in/~skb/qbook/qbook.html

Table of Contents

List of Figures
xv
Introduction
1(8)
Queueing Model Parameters
2(1)
A Simple Queueing Model
3(4)
Some Basic Queueing Models
7(1)
A Summary of the Contents
7(2)
Basic Queueing Theory: Fundamentals of Analyzing Single Queues
9(46)
Markov Processes and Markov Chains
9(6)
Birth-Death Processes
15(5)
Kendall's Notation for Queues
20(2)
Little's Result
22(1)
Equilibrium Solutions for M/M/-/- Queues
23(11)
Delay Analysis for FCFS M/M/1/∞ and M/M/m/∞ Queues
34(4)
Departure Process from a M/M/m/∞ Queue
38(2)
Time Reversibility Property of Irreducible, Aperiodic Markov Chains
40(1)
The Method of Stages for Solving a M/-/1/∞ FCFS Queue
41(4)
Queues with Bulk (or Batch) Arrivals
45(10)
Problems
49(6)
Analysis of the M/G/1 Queue in Equilibrium: Performance Analysis Using Residual Life and Imbedded Markov Chain Approaches
55(34)
The Residual Life Approach for Analysing the M/G/1 Queue
57(7)
The Imbedded Markov Chain Approach for Analysing the M/G/1 Queue
64(6)
Distributions of Time Spent in System and the Waiting Time Prior to Service in a FCFS M/G/1 Queue
70(2)
Busy Period Analysis of a M/G/1 Queue
72(4)
Delay Analysis for a LCFS M/G/1 Queue
76(3)
The M/D/1 Queue
79(2)
Alternative Derivation for the Delays in a FCFS M/G/1 Queue
81(8)
Problems
86(3)
Advanced Queueing Theory: Vacations, Bulk Arrivals and Priorities in a M/G/1 Queue and the Geo/G/1 Queue
89(54)
M/G/1 Queue with Vacations
90(7)
M/G/1 Queue with Only One Vacation after Idle
97(1)
M/G/1 Queue with Exceptional First Service
98(3)
M[X]/G/1 Queue - Single Server Queue with Batch Arrivals
101(5)
Single Server M/G/1 Priority Queues
106(21)
The Discrete Time Geo/G/1 and Geo[X]/G/1 Queues
127(16)
Problems
140(3)
Fundamentals of Queueing Networks: Open and Closed Networks with Product-Form Solutions
143(50)
Classification of Different Types of Queueing Networks
145(3)
Probabilistic Routing in a Queueing Network
148(2)
Open Networks of M/M/m Type Queues and Jackson's Theorem
150(11)
Extensions to Jackson's Theorem for Other Open Networks
161(3)
Closed Queueing Networks
164(8)
Convolution Algorithm for Finding the Normalisation Constant for a Closed Queueing Network
172(2)
Mean Value Analysis (MVA) Algorithm for a Closed Queueing Network
174(7)
Analysis of a Sample Closed Network Using Convolution and MVA Algorithms
181(3)
Norton's Theorem for Closed Queueing Networks
184(9)
Problems
189(4)
Advanced Queueing Networks: Approximation Techniques for Open and Closed Queueing Networks
193(64)
Mixed Queueing Networks
193(5)
The GI/G/m Approximation for the Approximate Analysis of Open Queueing Networks (the QNA Technique)
198(13)
Fork/Join Queues in Open and Closed Networks of Infinite Capacity Queues
211(7)
Models of Blocking in Open and Closed Networks of Finite Capacity Queues
218(3)
Approximate Analytical Methods for Solving Closed Networks of Finite Capacity Queues
221(13)
Approximate Analytical Methods for Solving Open Networks of Finite Capacity Queues
234(23)
Appendix 6.1: The Generalised Exponential Distribution
254(3)
Simulation Techniques for Queues and Queueing Networks: Basic Principles for the Design of Queueing Simulators
257(26)
Simulation Model of a Real World System
258(5)
Discrete Event Simulation
263(5)
Collecting and Processing Simulator Outputs for Queues
268(3)
Estimation of Confidence Intervals and Confidence Levels
271(3)
Transient Behaviour and the Warm-up Interval
274(1)
Data Collection in Steady State Conditions
275(8)
Appendix 7.1 Generating Random Numbers
280(3)
References 283(2)
Index 285

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