In many scientific domains, experimental devices or simulation programs generate large volumes of data. The volumes of data may reach hundreds of terabytes and therefore it is imp...
Arie Shoshani, Luis M. Bernardo, Henrik Nordberg, ...
Distributed management of data is one of the most important problems facing grids. Within the Enabling Grids for Enabling eScience (EGEE) project, currently the world’s largest ...
Graeme A. Stewart, David G. Cameron, Greig A. Cowa...
Abstract. Nowadays, virtualization solutions are gaining increasing importance. By enabling the sharing of physical resources, thus making resource usage more efficient, they promi...
Nikolaus Huber, Marcel von Quast, Fabian Brosig, S...
Running Data Grid applications such as High Energy Nuclear Physics (HENP) and weather modelling experiments involves working with huge data sets possibly of hundreds of Terabytes ...
Grid computing is fast emerging as the solution to the problems posed by the massive computational and data handling requirements of many current international scientific project...