Description - Fundamentals of Queueing Theory by Donald Gross
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 Engineering
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.
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 queues
Approximations for queueing networks
Numerical inversion of transforms
Determining the appropriate number of servers to balance quality
and cost of service
Each 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.
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