J2. Stochastic networks

Erlang's introduction of the loss network pioneered mathematical modelling of telecommunication systems. Since then, there is an ongoing demand for higher performance from systems that are increasingly complex, and for which more data is available. Further, established techniques for telecommunication systems are increasingly being adapted for use on transportation systems, in particular road and traffic networks. This session will bring together researchers working on stochastic network problems, pushing the boundaries of existing models and techniques. The scope includes, but is not limited to, regenerative process models, networks of queues, random graphs, Markov decision processes, and hidden Markov models. Numerical study using simulation and Monte Carlo methods is welcome and the use of analytical techniques such as limit theorems, transforms, or diffusion approximations is encouraged.