Markovian queueing networks in a random environment

We study a Markovian queueing network in which the arrival rates, routing probabilities and service rates depend on an underlying Markov chain. Based on time-reversibility and balance equations, we show that under certain conditions, the steady-state distribution of the queue-length process is of product form.