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GI
1998
Springer

An Efficient Strategy for Tiling Multidimensional OLAP Data Cubes

11 years 9 months ago
An Efficient Strategy for Tiling Multidimensional OLAP Data Cubes
Computing aggregates over selected categories of multidimensional discrete data (MDD) cubes is the core operation of many on-line analytical processing (OLAP) systems. In order to support efficient computations of these aggregates in a multidimensional OLAP (MOLAP) system, a careful design of the database storage architecture must be undertaken. In particular, tiling (i.e., subdivision of an MDD cube into blocks) plays a crucial role in the overall performance of the system. Nevertheless, to our knowledge, the current MOLAP systems only provide regular tiling. In this paper we present a more efficient tiling strategy for partitioning MDD cubes in the context of MOLAP systems. We argue that, by providing explicit semantic information about the categories localization along each dimension of the MOLAP data cubes, a more accurate and efficient tiling strategy
Paolo Marques, Paula Furtado, Peter Baumann
Added 05 Aug 2010
Updated 05 Aug 2010
Type Conference
Year 1998
Where GI
Authors Paolo Marques, Paula Furtado, Peter Baumann
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