This book addresses the stochastic modeling of telecommunication networks, introducing the main mathematical tools for that purpose, such as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability, performances and comparison of systems.The authors propose a comprehensive mathematical construction of the foundations of stochastic network theory: Markov chains, continuous time Markov chains are extensively studied using an original martingale-based approach. A complete presentation of stochastic recursions from a
: We describe a new technique for simulations of large communication networks. This technique is bas...
The unprecedented growth of the Information Technologies sector observed within the past years creat...
The article represents a practical approach to the problem of modeling stochastic features of Intern...
This rigorous and self-contained book describes mathematical and, in particular, stochastic methods ...
This textbook provides an introduction to common methods of performance modeling and analysis of com...
Just as queueing theory revolutionized the study of circuit switched telephony in the twentieth cent...
The stochastic properties of a class of communication networks whose dynamics are Markovian are anal...
This book is an introduction to Markov chain modeling with applications to communication networks. I...
In the present work, stochastic network models representing a project as a set of activities are stu...
The paper contains the review and the discussion on modelling communication networks with the use of...
Stochastic models of complex networks arise in a wide variety of ap-plications in science and engine...
In this paper we develop tools to analyse a recently proposed random matrix model of communication n...
Many large-scale stochastic systems, such as telecommunications networks, can be modelled using a co...
Abstract. In this paper we develop tools to analyse a recently proposed random matrix model of commu...
An interdisciplinary approach to understanding queueing and graphical networks In today's era of int...
: We describe a new technique for simulations of large communication networks. This technique is bas...
The unprecedented growth of the Information Technologies sector observed within the past years creat...
The article represents a practical approach to the problem of modeling stochastic features of Intern...
This rigorous and self-contained book describes mathematical and, in particular, stochastic methods ...
This textbook provides an introduction to common methods of performance modeling and analysis of com...
Just as queueing theory revolutionized the study of circuit switched telephony in the twentieth cent...
The stochastic properties of a class of communication networks whose dynamics are Markovian are anal...
This book is an introduction to Markov chain modeling with applications to communication networks. I...
In the present work, stochastic network models representing a project as a set of activities are stu...
The paper contains the review and the discussion on modelling communication networks with the use of...
Stochastic models of complex networks arise in a wide variety of ap-plications in science and engine...
In this paper we develop tools to analyse a recently proposed random matrix model of communication n...
Many large-scale stochastic systems, such as telecommunications networks, can be modelled using a co...
Abstract. In this paper we develop tools to analyse a recently proposed random matrix model of commu...
An interdisciplinary approach to understanding queueing and graphical networks In today's era of int...
: We describe a new technique for simulations of large communication networks. This technique is bas...
The unprecedented growth of the Information Technologies sector observed within the past years creat...
The article represents a practical approach to the problem of modeling stochastic features of Intern...