U. Narayan Bhat is a Professor Emeritus in the Statistical Science Department at Southern Methodist University, Texas, USA. His research interests include: queueing theory, probability models for computer and communication systems, reliability and statistics and applied probability and statistics.

"This is a well-written textbook for upper-level undergraduate or graduate students in computer science or engineering who study network performance, design or other technological disciplines that include queueing theory. ... All necessary concepts on the theory of Markov processes as well as techniques for modeling and analysis of queueing systems are given in examples." (Vyacheslav Abramov, zbMATH 1333.60001, 2016)

• Introduction.- System Element Models.- Basic Concepts in Stochastic Processes.- Simple Markovian Queueing Systems.- Imbedded Markov Chain Models for M/G/1 and G/M/1 Queues.- Extended Markov and Renewal Models.- Queueing Networks.- Matrix-Analytic Queueing Models.- The General Queue G/G/1 and Approximations.- Statistical Inference for Queueing Models.- Decision Problems in Queueing Theory.- Queueing Theory Applications in the Analysis of Manufacturing Systems.- Queueing Theory Applications in the Analysis of Computer and Communication Systems.- Simulating Queueing Systems.

U. Narayan Bhat is a Professor Emeritus in the Statistical Science Department at Southern Methodist University, Texas, USA. His research interests include: queueing theory, probability models for computer and communication systems, reliability and statistics and applied probability and statistics.

"This is a well-written textbook for upper-level undergraduate or graduate students in computer science or engineering who study network performance, design or other technological disciplines that include queueing theory. ... All necessary concepts on the theory of Markov processes as well as techniques for modeling and analysis of queueing systems are given in examples." (Vyacheslav Abramov, zbMATH 1333.60001, 2016)

• Introduction.- System Element Models.- Basic Concepts in Stochastic Processes.- Simple Markovian Queueing Systems.- Imbedded Markov Chain Models for M/G/1 and G/M/1 Queues.- Extended Markov and Renewal Models.- Queueing Networks.- Matrix-Analytic Queueing Models.- The General Queue G/G/1 and Approximations.- Statistical Inference for Queueing Models.- Decision Problems in Queueing Theory.- Queueing Theory Applications in the Analysis of Manufacturing Systems.- Queueing Theory Applications in the Analysis of Computer and Communication Systems.- Simulating Queueing Systems.

U. Narayan Bhat is a Professor Emeritus in the Statistical Science Department at Southern Methodist University, Texas, USA. His research interests include: queueing theory, probability models for computer and communication systems, reliability and statistics and applied probability and statistics.

"This is a well-written textbook for upper-level undergraduate or graduate students in computer science or engineering who study network performance, design or other technological disciplines that include queueing theory. ... All necessary concepts on the theory of Markov processes as well as techniques for modeling and analysis of queueing systems are given in examples." (Vyacheslav Abramov, zbMATH 1333.60001, 2016)

• Introduction.- System Element Models.- Basic Concepts in Stochastic Processes.- Simple Markovian Queueing Systems.- Imbedded Markov Chain Models for M/G/1 and G/M/1 Queues.- Extended Markov and Renewal Models.- Queueing Networks.- Matrix-Analytic Queueing Models.- The General Queue G/G/1 and Approximations.- Statistical Inference for Queueing Models.- Decision Problems in Queueing Theory.- Queueing Theory Applications in the Analysis of Manufacturing Systems.- Queueing Theory Applications in the Analysis of Computer and Communication Systems.- Simulating Queueing Systems.