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 stochastic process cannot be repre- sented as a continuous time Markov chain with countable state space. Based on representation of the underlying stochastic process of the simulation...