Statistical performance evaluation has assumed an increasing amount of importance as we seek to design more and more sophisticated communication and information processing systems. The ability to predict a proposed system's per formance before one constructs it is an extremely cost effective design tool. This book is meant to be a first-year graduate level introduction to the field of statistical performance evaluation. It is intended for people who work with sta tistical performance evaluation including engineers, computer scientists and applied mathematicians. As such, it covers continuous time queueing theory (chapters 1-4), stochastic Petri networks (chapter 5), discrete time queueing theory (chapter 6) and recent network traffic modeling work (chapter 7). There is a short appendix at the end of the book that reviews basic probability theory. This material can be taught as a complete semester long course in performance evalua tion or queueing theory. Alternatively, one may teach only chapters 2 and 6 in the first half of an introductory computer networking course, as is done at Stony Brook. The second half of the course could use a more protocol oriented text such as ones by Saadawi [SAAD] or Stallings [STALl What is new in the third edition of this book? In addition to the well received material of the second edition, this edition has three major new features.
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This text, intended for a first course in performance evaluation, is a self-contained treatment covering all aspects of queueing theory. It starts by introducing readers to the terminology and usefulness of queueing theory and continues by considering Markovian queues in equilibrium, Little's law, reversibility, transient analysis, and computation, and the M/G/1 queueing system. A subsequent chapter covers networks of queues including the presentation of a recent and clear topological explanation for the existence of the product form solution. The final chapters explain techniques for numerical solutions, such as the convolution algorithm and mean-value analysis; discuss the PANACEA technique, discrete time queueing systems and simulation; and describe the new area of stochastic Petri networks. Case studies of distributed queueing networks arising in industrial applications are included. An appendix reviews probability theory. The third edition includes a new chapter on self-similar traffic, many new problems, and solutions for many exercises.
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