2021/09/08 by Christoph Döpmann, Döpmann, Christoph, Felix Fiedler +5
Computer Science · #Internet Traffic Analysis and Secure E-voting #Network Security and Intrusion Detection #Network Traffic and Congestion Control
paper · doi:10.14279/tuj.eceasst.80.1128
openalex publication_date 2024/03/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/01
Providing online anonymity to a broad range of Internet users, the Tor network today faces not only security concerns, but increasingly also performance issues. Due to its multi-hop nature, proper congestion control has been identified to be challenging in this situation. In this paper, we focus on PredicTor, a novel approach towards multi-hop congestion control based on distributed model predictive control (MPC), an advanced optimization-based control technique. We investigate PredicTor's significance for congestion control research. In particular, we carry out a simulation study to evaluate PredicTor's performance in non-trivial network scenarios. Our results indicate the great potential to push the status quo of congestion control, heavily improving achieved latency and fairness. By pointing out benefits and challenges of distributed MPC in this context, we open up a new promising research direction for congestion control