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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!