Tertiary Storage Support for Large-Scale Multidimensional Array Database Management Systems

Many large-scale scientific domains often generate huge amounts (hundreds of terabytes) of multidimensional data. The only practicable way for storing such large volumes of multidimensional data is a tertiary storage system. Unfortunately in commercial multidimensional Database Management Systems (DBMS) the access is optimized for performance with primary and secondary memory. Tertiary storage memory is not or only in an insufficient way supported for storing or retrieval of multidimensional array data. The intention of this paper is, to combine the advantage of both techniques, storing large amounts of data on tertiary storage media and realizing efficient data access for retrieval with the commercial multidimensional array DBMS RasDaMan.