The overhead of internal network monitoring motivates techniques of network tomography.
Network coding (NC) presents a new opportunity for network tomography as NC introduces …

In network tomography, we seek to infer link status parameters (delay, congestion, loss rates
etc.) inside a network through end-to-end measurements at (external) boundary nodes. As …

The network coding paradigm is based on the idea that independent information flows can
be linearly combined throughout the network to give benefits in terms of throughput …

Accurate and efficient measurement of network-internal characteristics is critical for the
management and maintenance of large-scale networks. In this paper, we propose a linear …

Network Tomography (or network monitoring) uses end-to-end measurements to
characterize the network, such as estimating the network topology and localizing random or …

Network tomography aims at inferring internal network characteristics based on
measurements at the edge of the network. In loss tomography, in particular, the …

In this paper, we combine network coding and tomographic techniques for topology
inference. Our goal is to infer the topology of a network by sending probes between a given …

Network tomography has emerged as one of the lean approaches for efficient network
monitoring, especially aiming at addressing the ever-increasing requirements for scaling …

Network tomography infers internal network characteristics by sending and collecting probe
packets from the network edge. Traditional tomographic techniques for general topologies …

End-to-end active network monitoring infers network characteristics by sending and
collecting probe packets from the network edge, while probes traverse the network through …