Optimal Design of Queueing Systems
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Optimal Design of Queueing Systems

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The First Comprehensive Book on the Subject Focusing on the underlying structure of a system, Optimal Design of Queueing Systems explores how to set the parameters of a queueing system, such as arrival and service rates, before putting it into operation. It considers various objectives, comparing individually optimal (Nash equilibrium), socially optimal, class optimal, and facility optimal flow allocations. After an introduction to basic design models, the book covers the optimal arrival rate model for a single-facility, single-class queue as well as dynamic algorithms for finding individually or socially optimal arrival rates and prices. It then examines several special cases of multiclass queues, presents models in which the service rate is a decision variable, and extends models and techniques to multifacility queueing systems. Focusing on networks of queues, the final chapters emphasize the qualitative properties of optimal solutions. Written by a long-time, recognized researcher on models for the optimal design and control of queues and networks of queues, this book frames the issues in the general setting of a queueing system. It shows how design models can control flow to achieve a variety of objectives.show more

Product details

  • Hardback | 384 pages
  • 158 x 236 x 24mm | 662.24g
  • Taylor & Francis Inc
  • Chapman & Hall/CRC
  • Boca Raton, FL, United States
  • English
  • 75 black & white illustrations, 1 black & white tables
  • 1584880767
  • 9781584880769
  • 2,452,158

About Jr. Shaler Stidham

University of North Carolina, Chapel Hill, USAshow more

Table of contents

Preface Introduction to Design Models Optimal Service Rate Optimal Arrival Rate Optimal Arrival Rate and Service Rate Optimal Arrival Rates for a Two-Class System Optimal Arrival Rates for Parallel Queues Optimal Arrival Rates in a Single-Class Queue A Model with General Utility and Cost Functions Generalizations of Basic Model GI/GI/1 Queue with Probabilistic Joining Rule Uniform Value Distribution: Stability Power Criterion Bidding for Priorities Dynamic Adaptive Algorithms: Stability and Chaos Basic Model Discrete-Time Dynamic Adaptive Model Discrete-Time Dynamic Algorithms: Variants Continuous-Time Dynamic Adaptive Algorithms Continuous-Time Dynamic Algorithm: Variants Optimal Arrival Rates in a Multiclass Queue General Multiclass Model: Formulation General Multiclass Model: Optimal Solutions General Multiclass Model: Dynamic Algorithms Waiting Costs Dependent on Total Arrival Rate Linear Utility Functions: Class Dominance Examples with Different Utility Functions Multiclass Queue with Priorities Figures for FIFO Examples Optimal Service Rates in a Single-Class Queue The Basic Model Models with Fixed Toll and Fixed Arrival Rate Models with Variable Toll and Fixed Arrival Rate Models with Fixed Toll and Variable Arrival Rate Models with Variable Toll and Variable Arrival Rate Multifacility Queueing Systems: Parallel Queues Optimal Arrival Rates Optimal Service Rates Optimal Arrival Rates and Service Rates Single-Class Networks of Queues Basic Model Individually Optimal Arrival Rates and Routes Socially Optimal Arrival Rates and Routes Comparison of S.O. and Toll-Free I.O. Solutions Facility Optimal Arrival Rates and Routes Multiclass Networks of Queues General Model Fixed Routes: Optimal Solutions Fixed Routes: Dynamic Adaptive Algorithms Fixed Routes: Homogeneous Waiting Costs Variable Routes: Homogeneous Waiting Costs Appendix: Scheduling a Single-Server Queue Strong Conservation Laws Work-Conserving Scheduling Systems GI/GI/1 WCSS with Non-Preemptive Scheduling Rules GI/GI/1 Queue: Preemptive-Resume Scheduling Rules References Index Endnotes appear in each chapter.show more

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