This paper deals with one of the fundamental properties of grid computing – transferring code between grid nodes and executing it remotely on heterogeneous hosts. Contemporary mi...
In this paper, we describe an analysis tool based on the statistical environment R, GridR, which allows using the collection of methodologies available as R packages in a grid env...
Dennis Wegener, Thierry Sengstag, Stelios Sfakiana...
This paper addresses necessary modification and extensions of existing Grid Computing approaches in order to meet nowadays business demand. So far, Grid Computing has been used to...
Carsten Franke, Adolf Hohl, Philip Robinson, Bernd...
Tracing resource usage by Grid users is of utmost importance — especially in the context of large-scale scientific collaborations such as within the High Energy Physics (HEP) c...
Rosario M. Piro, Michele Pace, Antonia Ghiselli, A...
Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
Renato Porfirio Ishii, Rodrigo Fernandes de Mello,...