Sensors capable of sensing phenomena at high data rates on the order of tens to hundreds of thousands of samples per second are now widely deployed in many industrial, civil engine...
Lewis Girod, Yuan Mei, Ryan Newton, Stanislav Rost...
New emerging scientific applications in geosciences, sensor and spatio-temporal domains require adaptive analysis frameworks that can handle large datasets with multiple dimension...
Cloud computing is increasingly considered as an additional computational resource platform for scientific workflows. The cloud offers opportunity to scale-out applications from d...
The field of e-science currently faces many challenges. Among the most important ones are the analysis of huge volumes of scientific data and the connection of various sciences an...
Richard Kuntschke, Tobias Scholl, Sebastian Huber,...
From personal software to advanced systems, caching mechanisms have steadfastly been a ubiquitous means for reducing workloads. It is no surprise, then, that under the grid and clu...