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 …

Networks and network analysis are arguably one of the largest growth areas of the early
twenty-first century in the quantitative sciences. Despite roots in social network analysis …

Well-known port numbers can no longer be used to reliably identify network applications.
There is a variety of new Internet applications that either do not use well-known port …

The modeling and analysis of computer communications networks give rise to a variety of
interesting statistical problems. This chapter focuses on network tomography, a term used to …

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 …

In this paper we explore the use of end-to-end unicast traffic as measurement probes to infer
link-level loss rates. We leverage on of earlier work that produced efficient estimates for link …

The use of multicast inference on end-to-end measurement has been proposed as a means
to infer network internal characteristics such as packet link loss rate and delay. We propose …