Stability Analysis of Regenerative Queueing Models

The stability analysis of stochastic models for telecommunication systems is an intensively studied topic. The analysis is, as a rule, a difficult problem requiring a refined mathematical technique, especially when one endeavors beyond the framework of Markovian models. The primary purpose of this book is to present, in a unified way, research into the stability analysis of a wide variety of regenerative queueing systems. It describes the theoretical foundations of this method, and then shows how it works with particular models, both classic ones as well as more recent models that have received attention. The focus lies on an in-depth and insightful mathematical explanation of the regenerative stability analysis method. The unique volume can serve as a textbook for students working in these and related scientific areas. The material is also of interest to engineers working in telecommunications field, who may be faced with the problem of stabilityof queueing systems.

Offers a unified approach and addresses theoretical foundations Focuses on the stability analysis of queueing systems by means of a regenerative approach Provides many simple problems to help readers develop the basic skills required for these and related areas

Autorentext

Prof. Evsey Morozov is a chief researcher at the Institute of Applied Mathematical Research of the Karelian Research Centre, Russian Academy of Sciences, and professor at the Institute of Mathematics and Information Technologies at Petrozavodsk State University, Petrozavodsk, Russia.

Dr. Bart Steyaert has been working as a researcher at the SMACS Research Group, Department TELIN, at Ghent University, Belgium..

Inhalt
1 Introduction.- 2 The Classical GI/G/1 and GI/G/m Queueing Systems.- 3 Tightness and Monotonicity.- 4 Generalizations of Multiserver Systems.- 5 State-dependent systems.- 6 N-models.- 7 Multiclass Retrial Systems with Constant Retrial Rates.- 8 Systems with State-Dependent Retrial Rates.- 9 A Multiclass Multiserver System with Classical Retrials.- 10 Other Related Models.