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DMDW
2001

SISYPHUS: A Chunk-Based Storage Manager for OLAP Cubes

10 years 2 months ago
SISYPHUS: A Chunk-Based Storage Manager for OLAP Cubes
In this paper, we present SISYPHUS, a storage manager for data cubes that provides an efficient physical base for performing OLAP operations. On-Line Analytical Processing (OLAP) poses new requirements to the physical storage layer of a database management system. Special characteristics of OLAP cubes such as multidimensionality, hierarchical structure of dimensions, data sparseness, etc., are difficult to handle with ordinary record-oriented storage managers. The SISYPHUS storage manager is based on a chunk-based data model that enables the hierarchical clustering of data with a very low storage cost. Moreover, it provides an access interface that is "hierarchy aware" and thus native to the OLAP data space. This interface can be used to implement efficient access paths to cube data.
Nikos Karayannidis, Timos K. Sellis
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where DMDW
Authors Nikos Karayannidis, Timos K. Sellis
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