Stability and Learning in Strategic Queueing Systems

Explore a cutting-edge seminar on stability and learning in strategic queueing systems presented by Éva Tardos, a distinguished professor from Cornell University. Delve into the complexities of strategic user behavior in repeated games, focusing on queuing systems where routers compete for servers. Discover how packet prioritization and server capacity affect system stability over time. Learn about the groundbreaking research that demonstrates how increased server capacity can maintain bounded queue lengths despite selfish behavior. Gain insights into the improved stability achieved when queues optimize for long-term success rates. Benefit from Tardos's extensive expertise in algorithms, network-flow, and the intersection of algorithms and incentives. This talk offers valuable knowledge for computer scientists, researchers, and professionals interested in optimization, game theory, and queuing systems.