Network Analysis and Reasoning
“What is my network doing?” What looks like a simple (if not trivial) question is actually almost impossible to answer today and this, for at least two reasons. First, existing network measurements tools only provide operators with coarse-grained traffic statistics (typically as a result of heavy sampling by the devices). Second, network operators have to manually bridge the large semantic gap separating these imperfect observations from the corresponding high-level insights that explain them.
Our group is investigating new kinds of measurement and reasoning techniques enabling to: (i) collect high-quality network statistics in a scalable way; and (ii) extract meaningful insights from them.
Running Student Theses
Student: Benjamin Hoffman
Supervisors: Alexander Dietmüller and Laurent Vanbever
Student: Jonathan Rappl
Supervisors: Tibor Schneider, Yu Chen, Alexander Dietmüller, and Laurent Vanbever