Probabilistic inference was shown effective in non-deterministic diagnosis of end-to-end service failures. Since exact probabilistic diagnosis is known to be an NP-hard problem, a...
Internet-based information technologies have considerable potential for improving collaboration in professional communities. In this paper, we explain the concept of user-driven sp...
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Time synchronization is a crucial component of a large class of sensor network applications, traditionally implemented as a standalone middleware service that provides a virtual gl...
Although epidemic or gossip-based multicast is a robust and scalable approach to reliable data dissemination, its inherent redundancy results in high resource consumption on both ...