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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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..
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.
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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 stability of queueing systems.
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.
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Paperback. Condición: new. Paperback. 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. The stability analysis of stochastic models for telecommunication systems is an intensively studied topic. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783030824402
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