DDQC 2021: abstracts and recordings

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.

For a full overview of the speakers and abstracts, go this page

Session 1

Michel Mandjes (University of Amsterdam): Data-driven Queueing Challenges

Liron Raver (University of Haifa) – Estimating customer impatience for a queueing system with unobserved balking

Neil Walton (University of Manchester) – Learning and Information in Stochastic Networks and Queues: A tutorial

Session 2

Mor Harchol-Balter (Carnegie Mellon University): New Directions in Stochastic Scheduling

Peter Glynn (Stanford University) – Statistics, Stochastics and Queueing

Discussion – Moderated by Sem Borst (TUe)

Session 3

Martin Zubeldia (Georgia Institute of Technology): Learning traffic correlations in multi-class queueing systems by sampling workloads

Darryl Veitch (University of Technology Sydney): Network modelling and measurement: Whence, Where and Whither

Ramesh Johari (Stanford University): Adaptive design of switchback experiments: A Markov chain perspective

Session 4

Avishai Mandelbaum – Resource-Driven Activity Networks (RANs), arising from “Theompirical” Research at the Technion SEELab

Session 4 – talks 2 and 3 recordings are only available to event registrants.

Session 5

Jim Dai (Cornell University and CUHK-Shenzhen): Deep reinforcement learning for stochastic processing networks

Galit Yom-Tov (Technion Israel): The Co-Production of Service: Modeling Service Times in Contact Centers Using Hawkes Processes

Mor Armony (NYU Stern Business): Queue configurations and customer ownership: An analytical and experimental investigation

Session 6

Shane Henderson (Cornell University): Volunteer programs in Emergency Medical Services

Azam Asanjarani (University of Auckland): A survey of parameter and state estimation in queues: A tutorial

Peter Taylor (ACEMS & The University of Melbourne) and Keith Royston (Probegroup): A call centre server allocation problem