Data-driven queueing challenges
The increasing availability of data in the operation of large computer networks and the management of human service systems creates new problems in queueing theory. To respond, ACEMS and NETWORKS are co-sponsoring an on-line workshop on `Data-driven queueing challenges’, in association with The Alan Turing Institute.
The workshop brings together researchers from statistics, stochastic modelling and data science to consider research directions in modelling and controlling queues, and in dealing with parameter uncertainty, when there is access to operational data.
The program contains 16 speakers and 2 panel discussions.