Thoroughly 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.
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A graduate text and reference on queueing theory, covering everything from the development of standard models to applications. The focus is on real analysis of queueing systems applications and problem solving. The second edition has been expanded to include new material on statistical inference in queueing and updated to reflect changes in simulation languages and new results in statistical analysis of simulation output such as regenerative techniques. Contains a new section on the fundamentals of Markov processes, in addition to new chapters on advanced Markov Models, queueing networks, and bounds and approximations.
An updated and expanded edition of a highly successful textbook.
This updated and expanded edition of Fundamentals of Queueing Theory presents the analytic modeling of queues in a very accessible style using up-to-date examples. Though the detailed coverage of the fundamentals of analytic modeling remains virtually the same, this new edition contains additional proofs (Erlang's loss formula), material (reversibility and mean-value analysis), and discussions (rootfinding involved in G/M/c). A fresh emphasis on the telecommunications boom enlivens the text, and a spreadsheet program for Excel and Quattro on the companion ftp site aids in understanding the sensitivity of waiting-line systems to parameter and environmental changes. In the treatment of the advanced material, the authors have commingled mathematical details with numerical results and intuitive arguments.
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