Eliminating the XML Overhead in Embedded XML Languages

Sven Groppe; Björn Schütt; Stefan Werner

doi:10.1145/2480362.2480466

Eliminating the XML Overhead in Embedded XML Languages

Sven Groppe, Björn Schütt, Stefan Werner

Institut für Informationssysteme

1 Zitat (Scopus)

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.

Originalsprache	Englisch
Titel	Proceedings of the 28th Annual ACM Symposium on Applied Computing
Seitenumfang	6
Erscheinungsort	New York, NY, USA
Herausgeber (Verlag)	ACM
Erscheinungsdatum	18.03.2013
Seiten	542-547
ISBN (Print)	978-1-4503-1656-9
DOIs	https://doi.org/10.1145/2480362.2480466
Publikationsstatus	Veröffentlicht - 18.03.2013
Veranstaltung	28th Annual ACM Symposium on Applied Computing - Coimbra, Portugal Dauer: 18.03.2013 → 22.03.2013 Konferenznummer: 96995

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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. ",

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AU - Schütt, Björn

AU - Werner, Stefan

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Y1 - 2013/3/18

N2 - 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.

AB - 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.

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M3 - Conference contribution

SN - 978-1-4503-1656-9

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BT - Proceedings of the 28th Annual ACM Symposium on Applied Computing

PB - ACM

CY - New York, NY, USA

T2 - 28th Annual ACM Symposium on Applied Computing

Y2 - 18 March 2013 through 22 March 2013

ER -

Eliminating the XML Overhead in Embedded XML Languages

Abstract

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