Abstract-- With increasing richness in features such as personalization of content, web applications are becoming more complex and hence compute intensive. Traditional approaches t...
We study three scheduling problems (file redistribution, independent tasks scheduling and broadcasting) on large scale heterogeneous platforms under the Bounded Multi-port Model. I...
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
Daniel Restrepo-Montoya, Camilo Pino, Luis F. Ni&n...
This work presents a distributed method for control centers in a power network to estimate the operating condition of the power plant, and to ultimately determine the occurrence o...
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...