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Fundamentals of Queueing Theory, Third Edition

Fundamentals of Queueing Theory, Third Edition

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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.

This comprehensive text/reference offers:

  • New material, proofs, discussions, and processes
  • Spreadsheet program for Excel and Quattro on the companion ftp site
  • Illustrative examples and exercises to use with Excel and Quattro
  • Boxed equations for easy reference
  • Chapter problems
  • An extensive solutions manual available upon request.

Table of Contents

Simple Markovian Birth-Death Queueing Models.

Advanced Markovian Queueing Models.

Networks, Series, and Cyclic Queues.

Models with General Arrival or Service Patterns.

More General Models and Theoretical Topics.

Bounds, Approximations, Numerical Techniques, and Simulation.

References.

Appendices.

Index.

Author Information

DONALD GROSS is Research Professor in the Department of Operations Research and Engineering at George Mason University in Fairfax, Virginia. CARL M. HARRIS is BDM Professor of Operations Research and Associate Dean of the School of Information Technology and Engineering at George Mason University. Both authors have written extensively in the area of numerical solutions to stochastic operations research problems.

About the author

Product details

ISBN-100471170836
Last updated 2016-05-25 12:11
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