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Evaluating Queries and Updates on Big XML Documents

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Date
2018
Dewey
Programmation, logiciels, organisation des données
Sujet
XML; Cloud computing; Map/Reduce
Journal issue
Information Systems Frontiers
Volume
20
Number
1
Publication date
02-2018
Article pages
63-90
DOI
http://dx.doi.org/10.1007/s10796-017-9744-4
URI
https://basepub.dauphine.fr/handle/123456789/19810
Collections
  • LAMSADE : Publications
Metadata
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Author
Bidoit, Nicole
2544 Laboratoire de Recherche en Informatique [LRI]
Colazzo, Dario
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Malla, Noor
153012 autre
Sartiani, Carlo
262138 Dipartimento di Matematica Informatica ed Economia [DiMIE]
Type
Article accepté pour publication ou publié
Abstract (EN)
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.

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