Background Increasingly large amounts of DNA sequencing data are being generated
within the Wellcome Trust Sanger Institute (WTSI). The traditional file system struggles to …

Cloud computing is a new technology widely studied in recent years. Now there are many
cloud platforms both in industry and in academic circle. How to understand and use these …

The analysis of rainfall and runoff to characterize watershed response to storm events is a
critical area of hydrologic research. A wealth of data exists to perform this analysis, but it is …

Management of big spatio-temporal data such as the results from large scale global climate
models has long been a challenge because of the sheer vastness of the dataset. Although …

Grid‐based simulation usually involves large quantities of data at each stage of the
simulation process. These data include simulation input and output files, intermediate results …

The computational complexity and the constantly increasing amount of input data for
scientific computing models is threatening their scalability. In addition, this is leading …

There is a strong and persistent demand amongst scientists, citizen scientists and the
general public for hydrologic data such as NEXRAD imagery and stream gauge time-series …

The hydrologic cycle and understanding the relationship between rainfall and runoff is an
important component of earth system science, sustainable development, and natural …

The increasing amounts of data related to the execution of scientific workflows has raised
awareness of their shift towards parallel data-intensive problems. In this paper, we deliver …

The information technology ecosystem is currently in transition to a new generation of
applications requiring intensive data acquisition, processing and storage. As a result of this …