Overview
- 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
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.
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Authors and Affiliations
About the authors
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..
Bibliographic Information
Book Title: Stability Analysis of Regenerative Queueing Models
Book Subtitle: Mathematical Methods and Applications
Authors: Evsey Morozov, Bart Steyaert
DOI: https://doi.org/10.1007/978-3-030-82438-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-82437-2Published: 21 September 2021
Softcover ISBN: 978-3-030-82440-2Published: 22 September 2022
eBook ISBN: 978-3-030-82438-9Published: 20 September 2021
Edition Number: 1
Number of Pages: XI, 185
Number of Illustrations: 24 b/w illustrations
Topics: Computer Communication Networks, Mathematical Applications in Computer Science, Probability Theory and Stochastic Processes, Communications Engineering, Networks