Several methods have been proposed in the literature for the distribution of data on distributed memory machines, either oriented to dense or sparse structures. Many of the real a...
As distributed real-time applications gain in popularity, a key challenge is to allocate resources so that diverse realtime requirements (including non-real-time applications), di...
—We consider the problem of efficiently managing massive data in a large-scale distributed environment. We consider data strings of size in the order of Terabytes, shared and ac...
Linear discriminant analysis (LDA) is a widely used feature extraction method for classification. We introduce distributed implementations of different versions of LDA, suitable ...
Sergio Valcarcel Macua, Pavle Belanovic, Santiago ...
MLS is a distributed location service to track the position of mobile nodes and to route messages between any two nodes. The lookup of nodes is achieved by searching in a hierarch...