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Evaluating Queries and Updates on Big XML Documents

Author

Listed:
  • Nicole Bidoit

    (Laboratoire de Recherche en Informatique, Université Paris-Sud, CNRS UMR 8623, Université Paris-Saclay)

  • Dario Colazzo

    (Université Paris-Dauphine, PSL Research University, CNRS, LAMSADE)

  • Noor Malla

    (Saudi School of Paris)

  • Carlo Sartiani

    (DIMIE - Università della Basilicata)

Abstract

In this paper we present Andromeda, a system for processing queries and updates on large XML documents. The system is based on the idea of statically and dynamically partitioning the input document, so as to distribute the computing load among the machines of a MapReduce cluster.

Suggested Citation

  • Nicole Bidoit & Dario Colazzo & Noor Malla & Carlo Sartiani, 2018. "Evaluating Queries and Updates on Big XML Documents," Information Systems Frontiers, Springer, vol. 20(1), pages 63-90, February.
    • Handle: RePEc:spr:infosf:v:20:y:2018:i:1:d:10.1007_s10796-017-9744-4
    DOI: 10.1007/s10796-017-9744-4
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    Cited by:

    1. Ladjel Bellatreche & Patrick Valduriez & Tadeusz Morzy, 2018. "Advances in Databases and Information Systems," Information Systems Frontiers, Springer, vol. 20(1), pages 1-6, February.
    2. Claudia Diamantini & Paolo Lo Giudice & Domenico Potena & Emanuele Storti & Domenico Ursino, 2021. "An Approach to Extracting Topic-guided Views from the Sources of a Data Lake," Information Systems Frontiers, Springer, vol. 23(1), pages 243-262, February.
    3. Claudia Diamantini & Paolo Lo Giudice & Domenico Potena & Emanuele Storti & Domenico Ursino, 0. "An Approach to Extracting Topic-guided Views from the Sources of a Data Lake," Information Systems Frontiers, Springer, vol. 0, pages 1-20.

    More about this item

    Keywords

    XML; Cloud computing; Map/Reduce;
    All these keywords.

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