Can I read PredicTor: Predictive Congestion Control for the Tor Network on EtoBox?

PredicTor: Predictive Congestion Control for the Tor Network by Fiedler, Felix; Döpmann, Christoph; Tschorsch, Florian; Lucia, Sergio is a scholarly article available to read on EtoBox.

What is PredicTor: Predictive Congestion Control for the Tor Network about?

In the Tor network, anonymity is achieved through a multi-layered architecture, which comes at the cost of a complex network. Scheduling data in this network is a challenging task and the current approach shows to be incapable of avoiding network congestion and allocating fair data rates. We propose PredicTor, a distributed model predictive control approach, to tackle these challenges. PredicTor is designed to schedule incoming and outgoing data rates on individual nodes of the Tor architecture, leading to a scalable approach. We successfully avoid congestion through exchanging information of predicted behavior with adjacent nodes. Furthermore, we formulate PredicTor with a focus on fair allocation of resources, for which we present and proof a novel optimization-based fairness approach. Our proposed controller is evaluated with the popular network simulator ns-3, where we compare it with the current Tor scheduler as well as with another recently proposed enhancement. PredicTor shows significant improvements over the previous approaches, especially with respect to latency.

Author

Fiedler, Felix; Döpmann, Christoph; Tschorsch, Florian; Lucia, Sergio

Published

2020

Language

EN