Today's Internet is a massive, distributed network which continues to explode in size as e-
commerce and related activities grow. The heterogeneous and largely unregulated structure …

Network anomaly detection is a vibrant research area. Researchers have approached this
problem using various techniques such as artificial intelligence, machine learning, and state …

Networks are getting larger and more complex; yet administrators rely on rudimentary tools
such as ** and traceroute to debug problems. We propose an automated and systematic …

In this paper, we present the design, implementation, and evaluation of iPlane, a scalable
service providing accurate predictions of Internet path performance for emerging overlay …

Today's Internet is a massive, distributed network which continues to explode in size as e-
commerce and related activities grow. The heterogeneous and largely unregulated structure …

In network performance tomography, characteristics of the network interior, such as link loss
and packet latency, are inferred from correlated end-to-end measurements. Most work to …

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 …

Network tomography is a process for inferring" internal" link-level delay and loss
performance information based on end-to-end (edge) network measurements. These …

Packet delay greatly influences the overall performance of network applications. It is
therefore important to identify causes and locations of delay performance degradation within …

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