Journal ArticleDOI
Fundamentals of Queueing Theory
Rodney Coleman
- Vol. 138, Iss: 3, pp 436-437
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The Fundamentals of Queueing Theory, Fourth Edition as discussed by the authors provides a comprehensive overview of simple and more advanced queuing models, with a self-contained presentation of key concepts and formulae.Abstract:
Praise for the Third Edition: "This is one of the best books available. Its excellent organizational structure allows quick reference to specific models and its clear presentation . . . solidifies the understanding of the concepts being presented."IIE Transactions on Operations EngineeringThoroughly revised and expanded to reflect the latest developments in the field, Fundamentals of Queueing Theory, Fourth Edition continues to present the basic statistical principles that are necessary to analyze the probabilistic nature of queues. Rather than presenting a narrow focus on the subject, this update illustrates the wide-reaching, fundamental concepts in queueing theory and its applications to diverse areas such as computer science, engineering, business, and operations research.This update takes a numerical approach to understanding and making probable estimations relating to queues, with a comprehensive outline of simple and more advanced queueing models. Newly featured topics of the Fourth Edition include:Retrial queuesApproximations for queueing networksNumerical inversion of transformsDetermining the appropriate number of servers to balance quality and cost of serviceEach chapter provides a self-contained presentation of key concepts and formulae, allowing readers to work with each section independently, while a summary table at the end of the book outlines the types of queues that have been discussed and their results. In addition, two new appendices have been added, discussing transforms and generating functions as well as the fundamentals of differential and difference equations. New examples are now included along with problems that incorporate QtsPlus software, which is freely available via the book's related Web site.With its accessible style and wealth of real-world examples, Fundamentals of Queueing Theory, Fourth Edition is an ideal book for courses on queueing theory at the upper-undergraduate and graduate levels. It is also a valuable resource for researchers and practitioners who analyze congestion in the fields of telecommunications, transportation, aviation, and management science.read more
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Input Versus Output Queueing on a Space-Division Packet Switch
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The Randomization Technique as a Modeling Tool and Solution Procedure for Transient Markov Processes
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TL;DR: An implementation for a general class of Markov processes that can be described in terms of state space S, event set E, rate vectors R, and target vectors T-abbreviated as SERT is presented.
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Dynamic batching policies for an on-demand video server
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End-to-end congestion control for the internet: delays and stability
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References
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Journal ArticleDOI
A linear model for surface mining haul truck allocation incorporating shovel idle probabilities
TL;DR: The nonlinear relation between a shovel’s idle probability and the number of trucks assigned to the shovel is quantified and validated via a simple approximation, based on the theory of finite source queues.
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Performance analysis of wireless hybrid-ARQ systems with delay-sensitive traffic
TL;DR: This work considers an approach that relates physical system parameters to the queueing performance of wireless links and leads to a characterization of the effective capacity of the system which is applied to quantify the performance advantages of hybrid-ARQ over traditional schemes.
Journal ArticleDOI
Optimal control of a dual service rate M/M/1 production-inventory model
TL;DR: It is found that (i) the contingent source can reduce total cost effectively even when contingent sourcing is expensive and (ii) contingent sourcing reduces capacity cost more effectively than it does inventory cost.
Journal ArticleDOI
How to optimize discrete-event systems from a single sample path by the score function method
TL;DR: A method for deriving the optimal solution of a class of mathematical programming problems, associated with discrete-event systems and in particular with queueing models, while using asingle sample path (single simulation experiment) from the underlying process.
Journal ArticleDOI
Blocking Effects in Warehouse Systems With Autonomous Vehicles
TL;DR: In this research, protocols are developed to address vehicle blocking, and a semi-open queueing network model is proposed to analyze system performance and evaluate design trade-offs.