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Usage-driven storage structures for native XML databases by Karsten Schmidt; Theo Härder is a scholarly article available to read on EtoBox.

What is Usage-driven storage structures for native XML databases about?

There are numerous and influential parameters associated with the selection of suitable native storage structures for XML documents within an XML DBMS. The most important parameters are related to node labeling, path synopsis, document container layout, indexing, and text compression. While node labeling and the presence of a path synopsis greatly determine flexibility and efficiency of the entire DBMS-internal XML processing, the remaining issues primarily address I/O demand and space consumption. In particular, text compression-considered orthogonal to the design choices affected by the other parameters-implies additional algorithmic costs for encoding/decoding during document processing. Having the vision in mind that future storage managers can autonomously figure out optimal choices for all of these parameters, we discuss how various storage options favor different usage patterns and how they can be specified beforehand to influence native XML storage options by the anticipated usages.

Author

Karsten Schmidt; Theo Härder

Publisher

ACM Press

Published

2008

Language

EN