Future wireless networks have a substantial potential in terms of supporting a broad range of
complex compelling applications both in military and civilian fields, where the users are able …

Today's telecommunication networks have become sources of enormous amounts of widely
heterogeneous data. This information can be retrieved from network traffic traces, network …

The construction of a meaningful graph topology plays a crucial role in the effective
representation, processing, analysis, and visualization of structured data. When a natural …

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 …

A survey of recent developments in the theory and application of composite likelihood is
provided, building on the review paper of Varin (2008). A range of application areas …

Data is becoming an indispensable production factor for the modern economy, matching or
exceeding in importance traditional factors such as land, infrastructure, labor and capital. As …

We study the problem of learning a latent tree graphical model where samples are available
only from a subset of variables. We propose two consistent and computationally efficient …

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 …

With more applications moving to the cloud, cloud providers need to diagnose performance
problems in a timely manner. Offline processing of logs is slow and inefficient, and …

Interactive real-time streaming applications such as audio-video conferencing, online
gaming and app streaming, place stringent requirements on the network in terms of delay …