Modeling and Analysis Network Performance

Brief review of probability theory . Introduction to stochastic processes . Study of convolutions Bernoulli and Poisson. Presentation and study of Markov Processes ( description , properties , limit behavior , examples) . Rejuvenating and regenerative development. Waiting theory elements (M / G / 1). Stochastic modeling sources of network traffic and performance study of network resource allocation schemes.