We propose a novel approach for statistical risk modeling of network attacks that lets an operator perform risk analysis using a data model and an impact model on top of an attack ...
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
David Andrzejewski, Anne Mulhern, Ben Liblit, Xiao...
Probability features increasingly often in software and hardware systems: it is used in distributed co-ordination and routing problems, to model fault-tolerance and performance, a...
Peer-to-Peer computing is a model consisting of cooperating distributed processing units terms peers. Characteristics of this computing model include lack of centralized control an...
Users of multimedia applications today are equipped with a variety of different (mobile) devices that each come with different operating systems, memory and CPU capabilities, netw...