Abstract. Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geog...
Grid computing and cluster computing platforms are becoming the primary development platforms for pervasive computing. The primary problem associated with both computational grids...
Avinash Shankar, Daniel Saffioti, Ian Piper, Ashwi...
Abstract. Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But th...
—Divisible load model allows scheduling algorithms that give nearly optimal makespan with practical computational complexity. Beaumont et al. have shown that their algorithm prod...
This paper describes the integration of the High Level Architecture (HLA), an IEEE standard for distributed interactive simulation, with a scientific software package (Scilab) and...