Optimized management of large-scale data sets stored on tertiary storage systems

Abstract

We focus on extending RasDaMan's multidimensional query language using a new concept called object framing. With this extension, users no longer are restricted to performing range queries in the shape of multidimensional hypercubes. It can be able to formulate range queries by indicating complex frames. Thus, object framing represents a generalization of geometric operations. A new system, optimized toward high-performance computing, extends the RasDaMan (Raster Data Management) database management system to allow flexible management of multidimensional spatiotemporal data and to reduce tertiary storage access time.