Process variations have become a critical issue in performance verification of high-performance designs. We present a new, statistical timing analysis method that accounts for int...
Distributed real-time embedded systems have stringent requirements for key performance properties, such as endto-end timeliness and reliability, in order to operate properly. In r...
In a distributed system with N processes, time stamps of size N (such as vector clocks) are necessary to accurately track potential causality between events. Plausible clocks are a...
We propose a practical technique for the identification of lossy network links from end-to-end measurements. Our scheme is based on a function that computes the likelihood of each...
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...