STOCHASTIC NETWORKS AND QUEUEING SYSTEMS

Credit Hours: 3 · Graduate

Stochastic networks and queueing systems in a variety of applications including service operations (such as customer service systems, e-commerce platforms and healthcare), logistics and inventory management, telecommunications, manufacturing, transportation, biology, epidemiology, neuroscience, data centers, machine learning and artificial intelligence. Mathematical models including fundamental queueing models (Markovian, non-Markovian, single-server or multi-server), queueing networks, dynamic models on random graphs, spatial network models, stochastic neural networks, and stochastic epidemic networks. Technical topics including performance analysis and approximations, ergodicity and stability analysis, fluid and diffusion approximations, mean-field analysis, simulation and learning algorithms, optimization and optimal control.