1 -- As the scale and complexity of data-driven computational science grows, so grows the burden on the scientists and students in managing the data products used and generated dur...
Yiming Sun, Scott Jensen, Sangmi Lee Pallickara, B...
Relational database systems have been the dominating technology to manage and analyze large data warehouses. Moreover, the ER model, the standard in database design, has a close r...
Carlos Ordonez, Il-Yeol Song, Carlos Garcia-Alvara...
Efficient data movement is an important part of any highperformance I/O system, but it is especially critical for the current and next-generation of massively parallel processing ...
Ron Oldfield, Patrick Widener, Arthur B. Maccabe, ...
Today's high-end massively parallel processing (MPP) machines have thousands to tens of thousands of processors, with next-generation systems planned to have in excess of one...
Ron Oldfield, Lee Ward, Rolf Riesen, Arthur B. Mac...
Existing data grid scheduling systems handle huge data I/O via replica location services coupled with simple staging, decoupled from scheduling of computing tasks. However, when th...