Scientific investigations have to deal with rapidly growing amounts of data from simulations and experiments. During data analysis, scientists typically want to extract subsets o...
Alexandru Romosan, Doron Rotem, Arie Shoshani, Der...
Several systems have been presented in the last years in order to manage the complexity of large microarray experiments. Although good results have been achieved, most systems ten...
Ivan Porro, Livia Torterolo, Luca Corradi, Marco F...
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...
Management of various complex resources is an important issue to be well done, in order to fulfill the potential of Grid. In this paper, we propose a formal data model and algebra ...
Volunteer Computing is becoming a new paradigm not only for the Computational Grid, but also for institutions using production-level Data Grids because of the enormous storage pot...
Jesus Luna, Michail Flouris, Manolis Marazakis, An...