Scientists have long relied on abstract models to study phenomena that are too complex for direct observation and experimentation. As new scientific modeling methodologies emerge...
This paper reflects different understanding and positions on future trends of GRID-oriented technologies, applications, and networks, as perceived by representatives from industry...
Petre Dini, Wolfgang Gentzsch, Mark Potts, Alexand...
The need to conduct and manage large sets of experiments for scientific applications dramatically increased over the last decade. However, there is still very little tool support ...
Secure, distributed collaboration between different organizations is a key challenge in Grid computing today. The GDCD project has produced a Grid-based demonstrator Virtual Colla...
E. Rowland Watkins, Mark McArdle, Thomas Leonard, ...
— The execution of data intensive grid applications still raises several questions regarding job scheduling, data migration and replication. The optimization techniques applied b...