Regeneration and Networks of Queues

Networks of queues arise frequently as models for a wide variety of congestion phenomena. Discrete event simulation is often the only available means for studying the behavior of complex networks and many such simulations are non­ Markovian in the sense that the underlying shastic process cannot be represented as a continuous time Markov chain with countable state space. Based on representation of the underlying shastic process of the simulation as a gen­ eralized semi-Markov process, this ...