Fundamentals of Queueing Theory 4th Edition Donald Gross John Shortle Jim Thompson Carl Harris (c) 2008 by John Wiley & Sons, Inc.

• Chapter 1: Introduction
• 1.1 Description of the Queueing Problem
• 1.2 Characteristics of Queueing Processes
• 1.3 Notation
• 1.4 Measuring System Performance
• 1.5 Some General Results
• 1.6 Simple Data Bookkeeping for Queues
• 1.7 Poisson Process and the Exponential Distribution
• 1.8 Markovian Property of the Exponential Distribution
• 1.9 Stochastic Processes and Markov Chains
• 1.10 Introduction to the QtsPlus Software
• Chapter 2: Simple Markovian Queueing Models
• 2.1 Birth-Death Processes
• 2.2 Single-Server Queues (M/M/1)
• 2.3 Multiserver Queues (M/M/c)
• 2.4 Choosing the Number of Servers
• 2.5 Queues with Truncation (M/M/c/K)
• 2.6 Erlang's Loss Formula (M/M/c/c)
• 2.7 Queues with Unlimited Service (M/M/Infinity)
• 2.8 Finite-Source Queues
• 2.9 State-dependent Service
• 2.10 Queues with Impatience
• 2.11 Transient Behavior
• 2.12 Busy-Period Analysis
• Chapter 3: Advanced Markovian Queueing Models
• 3.1 Bulk Input (M^[X]/M/1)
• 3.2 Bulk Service (M/M^[Y]/1)
• 3.3 Erlangian Models
• 3.4 Priority Queue Disciplines
• 3.5 Retrial Queues
• Chapter 4: Networks, Series, and Cyclic Queues
• 4.1 Series Queues
• 4.2 Open Jackson Networks
• 4.3 Closed Jackson Networks
• 4.4 Cyclic Queues
• 4.5 Extensions of Jackson Networks
• 4.6 Non-Jackson Networks
• Chapter 5: General Arrival or Service Patterns
• 5.1 General Service, Single Server (M/G/1)
• 5.2 General Service, Multiserver (M/G/c/., M/G/Infinity)
• 5.3 General Input (G/M/1, G/M/c)
• Chapter 6: General Models and Theoretical Topics
• 6.1 G/Ek/1, G^[k]/M/1, and G/PHk/1
• 6.2 General Input, General Service (G/G/1)
• 6.3 Poisson Input, Constant Service, Multiserver (M/D/c)
• 6.4 Semi-Markov and Markov Renewal Processes in Queueing
• 6.5 Other Queue Disciplines
• 6.6 Design and Control of Queues
• 6.7 Statistical Inference in Queueing
• Chapter 7: Bounds and Approximations
• 7.1 Bounds
• 7.2 Approximations
• 7.3 Network Approximations
• Chapter 8: Numerical Techniques and Simulation
• 8.1 Numerical Techniques
• 8.2 Numerical Inversion of Transforms
• 8.3 Discrete-Event Stochastic Simulation
• Appendix A: Symbols and Abbreviations
• Appendix B: Tables
• Appendix C: Transforms and Generating Functions
• Appendix D: Differential and Difference Equations
• Appendix E: QtsPlus Software
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