| Description |
An introduction to the fundamental results of queueing theory. Topics covered include the classical traffic, offered load, loss and delay stochastic models for communication systems. Through concrete examples and motivations we discuss the theory of Markov chains, Poisson processes and Monte-Carlo simulation. Fundamental queueing results such as the Erlang blocking and delay formulae, Little's law and Lindley's equation are presented. Applications are drawn from communication network systems, inventory management, and optimal staffing. |