We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
—Traditional approaches for wireless sensor network diagnosis are mainly sink-based. They actively collect global evidences from sensor nodes to the sink so as to conduct central...
This paper describes a service-oriented P2P architecture and related federated metaprogramming model to support development of highly scalable and reliable distributed collaborati...
Networks of Workstations (NOW) have become important and cost-effective parallel platforms for scientific computations. In practice, a NOW system is heterogeneous and non-dedicat...
We propose a novel approach to service choreography through a typed process calculus that features an event notification paradigm for coordinating distributed components (e.g., se...