Intended for a first course in performance evaluation, this is a self-contained treatment covering all aspects of queuing theory. It starts by introducing readers to the terminology and usefulness of queueing theory and continues by considering Markovian queues in equilibrium, Littles law, reversibility, transient analysis, and computation, plus the M/G/1 queuing system. It then moves on to cover networks of queues, and concludes with techniques for numerical solutions, a discussion of the PANACEA technique, discrete time queueing systems and simulation, and stochastic Petri networks. The whole is backed by case studies of distributed queueing networks arising in industrial applications. This third edition includes a new chapter on self-similar traffic, many new problems, and solutions for many exercises.
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About the Author Thomas G. Robertazzi is an associate professor of electrical engineering at Suny at Stony Brook. In recent years, he has taught telecommunications and data networking courses at Suny at Stony Brook, The Cooper Union, and in industry. Since 1993 Professor Robertazzi has also been faculty director of the Stony Brook Interdisciplinary Program in Science and Engineering. Professor Robertazzi's research interests lie in the performance evaluation of computer and communication systems. He has published extensively in the areas of parallel processor scheduling, ATM switching, Queueing networks, Petri networks, and multihop radio networks. In the area of performance evaluation, he has written one book, coauthored a second, and edited a third. Professor Robertazzi has served as an editor of books for the IEEE Communications Society and as an associate editor of the journal, Wireless Networks.
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