Evaluating Queries and Updates on Big XML Documents
Autor: | Nicole Bidoit, Dario Colazzo, Noor Malla, Carlo Sartiani |
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Přispěvatelé: | Données et Connaissances Massives et Hétérogènes (LRI) (LaHDAK - LRI), Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
XML Encryption
Computer Networks and Communications Computer science Efficient XML Interchange 02 engineering and technology computer.software_genre Theoretical Computer Science Simple API for XML XML Schema Editor 020204 information systems Streaming XML 0202 electrical engineering electronic engineering information engineering Cloud computing XML schema ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT computer.programming_language [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB] Database XML validation computer.file_format XML XML database ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Map/Reduce 020201 artificial intelligence & image processing computer Software Information Systems |
Zdroj: | Information Systems Frontiers Information Systems Frontiers, Springer Verlag, 2018, 20 (1), pp.63-90. ⟨10.1007/s10796-017-9744-4⟩ |
ISSN: | 1387-3326 1572-9419 |
DOI: | 10.1007/s10796-017-9744-4⟩ |
Popis: | International audience; 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. |
Databáze: | OpenAIRE |
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