Caching frequent XML query patterns

  • Authors:
  • Xin Zhan;Jianzhong Li;Hongzhi Wang;Zhenying He

  • Affiliations:
  • Department of Computer Science and Engineering, Harbin Institute of Technology, China;Department of Computer Science and Engineering, Harbin Institute of Technology, China;Department of Computer Science and Engineering, Harbin Institute of Technology, China;Department of Computer Science and Engineering, Harbin Institute of Technology, China

  • Venue:
  • APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
  • Year:
  • 2006

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Abstract

As XML becomes prevailing on the Internet, efficient management of XML queries becomes more important. Caching frequent queries can expedite XML query processing. In this paper, we propose a framework to address an NP-hard optimization problem, caching frequent query patterns. We develop several algorithms to respectively generate query subpatterns, check query containment, and choose query subpatterns for caching. Experimental results show that our algorithms are efficient and scalable.