Here is the listing of Best reference books on Analysis and Control of Queues.
|1. “Probability Essentials” by Jean Jacod, Philip E. Protter
Book Review: This book is very useful at the graduate level for the courses on probability theory. It is very beneficial for students and teachers in the field of finance theory, electrical engineering and operations research. The book also contains a dedicated chapter on martingale theory and certain advanced topics like Brownian motion, calculus and statistical inference. The book contains around 28 chapters and the prerequisite is basic knowledge of mathematics.
|2. “Markov Chains and Stochastic Stability” by Sean Meyn and Richard L. Tweedie
Book Review: This book covers all the latest advancements made in the field of markov chains and stochastic stability. The book uses efficient simulation algorithms for complex markovian models and uses different means for research on markov chains. The book also illustrates the new applications that have occurred in topics like optimization, statistics and economics. Latest developments and references have been completely updated. This book is useful to practitioners with limited mathematical background.
|3. “Probability and Measure” by P. Billingsley|
|4. “Control Techniques for Complex Networks” by Sean Meyn|
|5. “Stochastic Networks and Queues” by Phillipe Robert
Book Review: This book carries detailed analysis of queues and stochastic networks with the help of probabilistic methods. The book also illustrates that general results from Markov processes or ergodic theory can be used for studying of stochastic processes directly. The book also talks about the prioritization of stochastic process results over ad hoc methods are necessary to study the complex behavior of stochastic networks. The book also provides a simple presentation on stationary point processes and palm measures. The book also contains theorems on scaling methods and functional limit theorems.
Sanfoundry Global Education & Learning Series – Best Reference Books!