EconPapers    
Economics at your fingertips  
 

Evaluating Queries and Updates on Big XML Documents

Nicole Bidoit (), Dario Colazzo (), Noor Malla () and Carlo Sartiani ()
Additional contact information
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

Information Systems Frontiers, 2018, vol. 20, issue 1, No 5, 63-90

Abstract: 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: XML; Cloud computing; Map/Reduce (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s10796-017-9744-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:20:y:2018:i:1:d:10.1007_s10796-017-9744-4

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-017-9744-4

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:infosf:v:20:y:2018:i:1:d:10.1007_s10796-017-9744-4