The GigaNetIC project aims to develop high-speed components for networking applications based on massively parallel architectures. A central part of this project is the design, ev...
In this paper, we present the first end-to-end fairness analysis of a network of fair servers. We argue that it is difficult to extend existing single-node fairness analysis to ...
: We examine the problem of identifying, measuring and evaluating communities in blogs. In our approach, we use sense of community (McMillan and Chavis, 1986) and centrality measur...
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Ouliter deTector (SPOT), t...