We study field-monitoring applications in which sensors are deployed in large numbers and the sensing process is expensive. In such applications, nodes should use the minimum poss...
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
The decentralized control scheme for routing in current IP networks has been questioned, and a centralized control scheme has been proposed. In this paper, we compare the convergen...
DHTs can locate objects in a peer-to-peer network within an efficient amount of overlay hops. Since an overlay hop is likely to consist of multiple physical hops, the ratio betwee...
—Modern large-scale grid computing for processing advanced science and engineering applications relies on geographically distributed clusters. In such highly distributed environm...
Daniel M. Batista, Luciano Chaves, Nelson L. S. da...