Reversibility and Stochastic Networks
Title | Reversibility and Stochastic Networks PDF eBook |
Author | Frank P. Kelly |
Publisher | John Wiley & Sons |
Pages | 248 |
Release | 1979 |
Genre | Mathematics |
ISBN |
Reversibility and Stochastic Networks
Title | Reversibility and Stochastic Networks PDF eBook |
Author | F. P. Kelly |
Publisher | Cambridge University Press |
Pages | 311 |
Release | 2011-06-30 |
Genre | Mathematics |
ISBN | 1107401151 |
This timeless classic is back in print. Enjoyable reading for anyone interested in stochastic processes.
Stochastic Networks
Title | Stochastic Networks PDF eBook |
Author | Frank Kelly |
Publisher | Cambridge University Press |
Pages | 233 |
Release | 2014-02-27 |
Genre | Computers |
ISBN | 1107035775 |
A compact, highly-motivated introduction to some of the stochastic models found useful in the study of communications networks.
Fundamentals of Queueing Networks
Title | Fundamentals of Queueing Networks PDF eBook |
Author | Hong Chen |
Publisher | Springer Science & Business Media |
Pages | 407 |
Release | 2013-04-17 |
Genre | Mathematics |
ISBN | 1475753012 |
This accessible book aims to collect in a single volume the essentials of stochastic networks. Stochastic networks have become widely used as a basic model of many physical systems in a diverse range of fields. Written by leading authors in the field, this book is meant to be used as a reference or supplementary reading by practitioners in operations research, computer systems, communications networks, production planning, and logistics.
Introduction to Stochastic Networks
Title | Introduction to Stochastic Networks PDF eBook |
Author | Richard Serfozo |
Publisher | Springer Science & Business Media |
Pages | 312 |
Release | 2012-12-06 |
Genre | Mathematics |
ISBN | 1461214823 |
Beginning with Jackson networks and ending with spatial queuing systems, this book describes several basic stochastic network processes, with the focus on network processes that have tractable expressions for the equilibrium probability distribution of the numbers of units at the stations. Intended for graduate students and researchers in engineering, science and mathematics interested in the basics of stochastic networks that have been developed over the last twenty years, the text assumes a graduate course in stochastic processes without measure theory, emphasising multi-dimensional Markov processes. Alongside self-contained material on point processes involving real analysis, the book also contains complete introductions to reversible Markov processes, Palm probabilities for stationary systems, Little laws for queuing systems and space-time Poisson processes.
Control Techniques for Complex Networks
Title | Control Techniques for Complex Networks PDF eBook |
Author | Sean Meyn |
Publisher | Cambridge University Press |
Pages | 33 |
Release | 2008 |
Genre | Mathematics |
ISBN | 0521884411 |
From foundations to state-of-the-art; the tools and philosophy you need to build network models.
Stochastic Networks and Queues
Title | Stochastic Networks and Queues PDF eBook |
Author | Philippe Robert |
Publisher | Springer Science & Business Media |
Pages | 406 |
Release | 2013-04-17 |
Genre | Mathematics |
ISBN | 3662130521 |
Queues and stochastic networks are analyzed in this book with purely probabilistic methods. The purpose of these lectures is to show that general results from Markov processes, martingales or ergodic theory can be used directly to study the corresponding stochastic processes. Recent developments have shown that, instead of having ad-hoc methods, a better understanding of fundamental results on stochastic processes is crucial to study the complex behavior of stochastic networks. In this book, various aspects of these stochastic models are investigated in depth in an elementary way: Existence of equilibrium, characterization of stationary regimes, transient behaviors (rare events, hitting times) and critical regimes, etc. A simple presentation of stationary point processes and Palm measures is given. Scaling methods and functional limit theorems are a major theme of this book. In particular, a complete chapter is devoted to fluid limits of Markov processes.