The increasing ability for the Earth sciences to sense the world around us is resulting in a
growing need for data-driven applications that are under the control of data-centric …

Within a decade after John von Neumann and colleagues conducted the first experimental
weather forecast on the ENIAC computer in the late 1940s, numerical models of the …

Whereas a consensus has been reached on defining the set of workflow patterns for
business process modeling languages, no such patterns exists for workflows applied to …

Discovering the correct dataset efficiently is critical for computations and effective
simulations in scientific experiments. In contrast to searching web documents over the …

A Web services-based publish/subscribe system has the potential to create an Internet scale
interoperable event notification system which is important for grid computing as it evolves a …

Discovering the correct dataset in an efficient fashion is critical for effective simulations in the
atmospheric sciences. Unlike text-based web documents, many of the large scientific …

Grid computing is about allocating distributed collections of resources including computers,
storage systems, networks and instruments to form a coherent system devoted to a “virtual …

A perfect segmentation method would be capable to segment words in letters. It would be
then possible to define a process on letters. Unfortunately, such a method is almost …

The use of real-time data streams in data-driven computational science is driving the need
for stream processing tools that work within the architectural framework of the larger …

Advances in numerical modeling, computational hardware and problem solving
environments have driven the growth of computational science over the past decades …