Network tomography is a fascinating field about “reverse-engineering a blackbox network using external measurements” that combines statistical inference, performance evaluation, measurement design, and intricate algorithms. After summarizing in our book Network Tomography (cambridge.org) our learnings on a relatively easier branch of “network performance tomography” which assumes the routing topology to be known, my team has embarked on a new journey along a more challenging branch of “network topology tomography” which deals with complete blackbox networks with unknown topology. After 6 years of research, we are still scratching the surface of this immensely challenging field, but have got some golden nuggets. To share our findings with the community and invite follow-up works, I just gave two tutorial-type talks on selected results and lessons about network topology tomography at:
Fully look forward to meeting prospective collaborators and breaking new grounds together in this fascinating field.