Today, many scientific disciplines heavily rely on computer systems for in-silico
experimentation or data management and analysis. The employed computer hard-and …

This report has two objectives. First, we describe a set of the production distributed
infrastructures currently available, so that the reader has a basic understanding of them. This …

Computing and computational science are well on their way to enter into the exascale era
while High Performance Computing (HPC) is now present in many spheres and domains of …

As scientific workflows are becoming more complex and apply compute-intensive methods
to increasingly large data volumes, access to HPC resources is becoming mandatory. We …

The interoperability of e-Science infrastructures like DEISA/PRACE and EGEE/EGI is an
increasing demand for a wide variety of cross-Grid applications, but interoperability based …

Scientific workflows have emerged as a key technology that assists scientists with the
design, management, execution, sharing and reuse of in silico experiments. Workflow …

This paper introduces the new benchmarking environment JuBE. It is a stand-alone
framework independent of the underlying benchmark applications and supports all steps of …

In today's interconnected world, the need to access to services across domains is
increasing. How to make inter-domain data exchanges secure is what we concerned …

A Grid enables remote, secure access to a set of distributed, networked computing and data
resources. Clouds are a natural complement to Grids towards the provisioning of IT as a …

In many disciplines of modern science new discoveries can be made by sifting through large
quantities of data. Big data is generated, collected and analyzed in both physical and virtual …