Hooman Homayounfar

Sibling-First Data Organization

For Efficient XML Data Processing

• Broschiertes Buch

Produktbeschreibung

Despite having many advantages, XML structure imposes several major obstacles to large document processing. Incompatibility between the linear nature of the current algorithms such as caching and prefetch used in operating systems and databases, and the non-linear structure of XML data makes XML processing more costly. Also depth-first (DF) structure of XML documents is a significant overhead to processing applications, including search engines. Recent research on XML query processing has learned that sibling clustering can improve performance significantly. However, the existing methods are limited in several aspects including in processing very large documents. In this book, a better data organization has been introduced for native XML databases, named sibling-first (SF), that significantly improves the performance in large data processing. The parse-free SF storage has been implemented in virtual memory as well as a format on disk. Experimental results with real data have shown that significantly higher performance can be achieved when XPath queries are conducted on very large SF documents.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 252
• Erscheinungstermin: 26. Mai 2010
• Englisch
• Abmessung: 220mm x 150mm x 16mm
• Gewicht: 342g
• ISBN-13: 9783838368788
• ISBN-10: 3838368789
• Artikelnr.: 29960752

Autorenporträt

Hooman Homayounfar is a researcher who teaches Computer Science in Ryerson University and University of Waterloo in Canada. He received a BSc in Computer Science in University of Mashad in Iran in 1991, Msc and PhD in Computer Science from University of Guelph, Canada in 2007. His research interest is mainly XML data structure.