… link volumes and ii) network delay tomography—link parameter estimation … network delay
tomography. The proposed method, however, is also applicable to traffic demand tomography…

In this paper we consider the problem of inferring link-level loss rates from end-to-end
multicast measurements taken from a collection of trees. We give conditions under which loss …

… connections to those arising in networking. This article introduces network tomography, a
new field … inference and tomography, and provides a simple, generalized formulation of the …

… A generalized network extraction workflow is developed for parameterizing three-dimensional
(3D) images of porous media. The aim of this workflow is to reduce the uncertainties in …

… We study the structure of generalized random graphs with a given … We focus on scale free
networks, where P(k) ∝ k−λ … We first examine the “Tomography” of these networks, ie the …

… coding and we re-visit some classic network tomography problems such as link loss inference
and topology inference. We develop new techniques that make use of the network coding …

… The aforementioned reasons motivate devising fully distributed iterative algorithms in
large-scale networks, which allocate the network tomography functionality to the routers. In a …

In the dynamic field of 5G network monitoring, the ability to generalize monitors' placement
across a network is crucial for comprehensive coverage. This study introduces the use of the …

… conclusions about network tomography for Erdos-Rényi models. In this work, we pursue
the same network tomography problem albeit for a different more demanding network setting, …

The substantial overhead of performing internal network monitoring motivates techniques
for inferring spatially localized information about performance using only end-to-end …