In this paper, we propose a management framework for protecting large computer systems against operator mistakes. By detecting and confining mistakes to isolated portions of the ...
Fabio Oliveira, Andrew Tjang, Ricardo Bianchini, R...
To use heterogeneous and geographically distributed resources as a platform for parallel visualization is an intriguing topic of research. This is because of the immense potential...
The exponential data growth rate of the Internet makes it increasingly difficult for people to find desired information in a timely fashion. Information filtering and dissemina...
The applications described here follow up the works performed in the recent last years by the Data Structures and Computational Linguistics Group at Las Palmas de Gran Canaria Univ...
Abstract. In previous work we have shown that the MapReduce framework for distributed computation can be deployed for highly scalable inference over RDF graphs under the RDF Schema...
Jacopo Urbani, Spyros Kotoulas, Jason Maassen, Fra...