Eliminating the XML Overhead in Embedded XML Languages

Sven Groppe, Björn Schütt, Stefan Werner

Abstract

XML is used to store and exchange data not only in the web and has advantages like self-describing content. Sensor nodes have limited hardware resources such that processing verbose data formats like XML is hard or even impossible if no intelligent techniques are used. This paper proposes such an intelligent technique for compression of XML data and query reformulation with the goal of eliminating superfluous computations already at compile time for programs with embedded XML data and queries. An experimental analysis shows the superior performance of the proposed approach when applied in sensor networks as well as on typical PC hardware.

Original languageEnglish
Title of host publicationProceedings of the 28th Annual ACM Symposium on Applied Computing
Number of pages6
Place of PublicationNew York, NY, USA
PublisherACM
Publication date18.03.2013
Pages542-547
ISBN (Print)978-1-4503-1656-9
DOIs
Publication statusPublished - 18.03.2013
Event28th Annual ACM Symposium on Applied Computing - Coimbra, Portugal
Duration: 18.03.201322.03.2013
Conference number: 96995

Research Areas and Centers

  • Research Area: Intelligent Systems
  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)

DFG Research Classification Scheme

  • 409-04 Operating, Communication, Database and Distributed Systems

Fingerprint

Dive into the research topics of 'Eliminating the XML Overhead in Embedded XML Languages'. Together they form a unique fingerprint.

Cite this