Baihan Lin, Guillermo Cecchi, et al.
IJCAI 2023
We consider packet routing when packets are injected continuously into a network. We develop an adversarial theory of queuing aimed at addressing some of the restrictions inherent in probabilistic analysis and queuing theory based on time-invariant stochastic generation. We examine the stability of queuing networks and policies when the arrival process is adversarial, and provide some preliminary results in this direction. Our approach sheds light on various queuing policies in simple networks, and paves the way for a systematic study of queuing with few or no probabilistic assumptions.
Baihan Lin, Guillermo Cecchi, et al.
IJCAI 2023
Ankit Vishnubhotla, Charlotte Loh, et al.
NeurIPS 2023
Guo-Jun Qi, Charu Aggarwal, et al.
IEEE TPAMI
Arnold.L. Rosenberg
Journal of the ACM