Optimizing XML data with view fragments

  • Authors:
  • Jun Liu;Mark Roantree;Zohra Bellahsene

  • Affiliations:
  • Dublin City University, Dublin, Ireland;Dublin City University, Dublin, Ireland;The University of Montpellier II, Montpellier Cedex

  • Venue:
  • ADC '10 Proceedings of the Twenty-First Australasian Conference on Database Technologies - Volume 104
  • Year:
  • 2010

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Abstract

As web-based applications and data continue to grow, large caches of XML data will result in many application domains. In sensor web applications, there are continuous streams of sensor data being generated, converted to XML and stored for domain queries and data mining purposes. The main problem with these XML caches is that existing XML database queries are very slow, especially for large databases or those with complex structures. In this work we propose a view-based system to XML optimization where the most popular or well-chosen queries are materialized and fragmented to greatly improve the performance of all XML queries.