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2003
Springer

Applying Database Support for Large Scale Data Driven Science in Distributed Environments

10 years 11 days ago
Applying Database Support for Large Scale Data Driven Science in Distributed Environments
There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e.g., running new simulations, doing additional measurements, extending the analysis to larger data collections. Critical steps in data analysis are to extract the data of interest from large and potentially distributed datasets and to move it from storage clusters to compute clusters for processing. We have developed a middleware framework, called GridDB-Lite, that is designed to efficiently support these two steps. In this paper, we describe the application of GridDB-Lite in large scale oil reservoir simulation studies and experimentally evaluate several optimizations that can be employed in the GridDB-Lite runtime system.
Sivaramakrishnan Narayanan, Ümit V. Ça
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where GRID
Authors Sivaramakrishnan Narayanan, Ümit V. Çatalyürek, Tahsin M. Kurç, Xi Zhang, Joel H. Saltz
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