Evaluating Queries and Updates on Big XML Documents

Nicole Bidoit; Dario Colazzo; Noor Malla; Carlo Sartiani

doi:10.1007/s10796-017-9744-4

Evaluating Queries and Updates on Big XML Documents

Nicole Bidoit
, Dario Colazzo
, Noor Malla
, Carlo Sartiani

INRIA Saclay, Laboratoire de Recherche en Informatique (LRI), Université Paris Sud
Université Paris Dauphine
Saudi School of Paris
Università degli Studi della Basilicata

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	63-90
Number of pages	28
Journal	Information Systems Frontiers
Volume	20
Issue number	1
DOIs	https://doi.org/10.1007/s10796-017-9744-4
Publication status	Published - 1 Feb 2018
Externally published	Yes

Keywords

Cloud computing
Map/Reduce
XML

Access to Document

10.1007/s10796-017-9744-4

Cite this

@article{29232b024b4d41068f006e1c1cc52f0e,

title = "Evaluating Queries and Updates on Big XML Documents",

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.",

keywords = "Cloud computing, Map/Reduce, XML",

author = "Nicole Bidoit and Dario Colazzo and Noor Malla and Carlo Sartiani",

note = "Publisher Copyright: {\textcopyright} 2017, Springer Science+Business Media New York.",

year = "2018",

month = feb,

day = "1",

doi = "10.1007/s10796-017-9744-4",

language = "English",

volume = "20",

pages = "63--90",

journal = "Information Systems Frontiers",

issn = "1387-3326",

number = "1",

}

TY - JOUR

T1 - Evaluating Queries and Updates on Big XML Documents

AU - Bidoit, Nicole

AU - Colazzo, Dario

AU - Malla, Noor

AU - Sartiani, Carlo

PY - 2018/2/1

Y1 - 2018/2/1

N2 - 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.

AB - 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.

KW - Cloud computing

KW - Map/Reduce

KW - XML

UR - https://www.scopus.com/pages/publications/85015820362

U2 - 10.1007/s10796-017-9744-4

DO - 10.1007/s10796-017-9744-4

M3 - Article

AN - SCOPUS:85015820362

SN - 1387-3326

VL - 20

SP - 63

EP - 90

JO - Information Systems Frontiers

JF - Information Systems Frontiers

IS - 1

ER -

Evaluating Queries and Updates on Big XML Documents

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this