Data-Driven Queueing Challenges Workshop


21 - 23 September 2021



The increasing availability of empirical data in the operation of large computer networks and in the management of human service systems is creating new opportunities for study in queueing theory. This workshop will bring together researchers with backgrounds in statistics, stochastic modelling, data science and control to discuss contemporary queueing theory challenges. The objective is to highlight and discuss future directions in data-driven queueing that arise in modelling, monitoring and controlling queues, and in dealing with parameter uncertainty, when there is access to operational data.

The workshop sessions span international time zones so that parts of the workshop will be scheduled at times convenient to multiple audiences. The workshop is an ACEMS collaboration with NETWORKS and the Alan Turing Institute.