
This paper is about representations for equilibrium sojourn time distributions in Jackson networks of queues. For a network with N single-server nodes let hi be the Laplace transform of the residual system sojourn time for a customer ‘arriving' to node i, ‘arrival' meaning external input or internal transfer. The transforms {hi : i = 1, ···, N} are shown to satisfy a system of equations we call the network flow equations. These equations lead to a general recursive representation for the higher moments of the sojourn time variables {Ti : i = 1, ···, N}. This recursion is discussed and then, by way of illustration, applied to the single-server Markovian queue with feedback.
Stochastic network models in operations research, Jackson networks, Applications of Markov renewal processes (reliability, queueing networks, etc.), recursive representation of higher moments, network flow equations, Queues and service in operations research, Queueing theory (aspects of probability theory)
Stochastic network models in operations research, Jackson networks, Applications of Markov renewal processes (reliability, queueing networks, etc.), recursive representation of higher moments, network flow equations, Queues and service in operations research, Queueing theory (aspects of probability theory)
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