Autonomic network management is an innovative vision promising new horizons of efficient
networking systems free from human control. This promise has, thus far, ushered in …

The availability of data center services is jeopardized by various network incidents. One of
the biggest challenges for network incident handling is to accurately localize the failures …

Network measurement is indispensable to network operations. INT solutions that can
provide fine-grained per-switch per-packet information serve as promising solutions for per …

When can we reason about the neutrality of a network based on external observations? We
prove conditions under which it is possible to (a) detect neutrality violations and (b) localize …

We present Netscope, a tomographic technique that infers the loss rates of network links
from unicast end-to-end measurements. Netscope uses a novel combination of first-and …

Large-scale data center networks are complex---comprising several thousand network
devices and several hundred thousand links---and form the critical infrastructure upon which …

Continuously monitoring link performance is important to network diagnosis. In this paper,
we address the problem of minimizing the probing cost and achieving identifiability in probe …

Boolean Inference makes it possible to observe the congestion status of end-to-end paths
and infer, from that, the congestion status of individual network links. In principle, this can be …

Network neutrality is important for users, content providers, policymakers, and regulators
interested in understanding how network providers differentiate performance. When …

The objective of early network tomography approaches was to produce a point estimate for
the performance of each network link (Analog tomography). When it became clear that the …