NoXperanto: Crowdsourced Polyglot Persistence

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Main Author: Antonio Maccioni
Format: Artículo científico
Language:en
Published: Instituto Politécnico Nacional 2014
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author Antonio Maccioni
author_facet Antonio Maccioni
contents NoXperanto: Crowdsourced Polyglot Persistence Antonio Maccioni Orlando Cassano Yongming Luo Juan Castrejón Genoveva Vargas-Solar Computación big data crowdsourcing property graph multidata bases graph databases This paper proposes NOXPERANTO, a novelcrowdsourcing approach to address querying over datacollections managed by polyglot persistence settings. The maincontribution of NOXPERANTO is the ability to solve complexqueries involving different data stores by exploiting queriesfrom expert users (i.e. a crowd of database administrators, dataengineers, domain experts, etc.), assuming that these users cansubmit meaningful queries. NOXPERANTO exploits the resultsof “meaningful queries” in order to facilitate the forthcomingquery answering processes. In particular, queries results areused to: (i) help non-expert users in using the multi-databaseenvironment and (ii) improve performances of the multi-databaseenvironment, which not only uses disk and memory resources,but heavily rely on network bandwidth. NOXPERANTO employsa layer to keep track of the information produced by the crowdmodeled as a Property Graph and managed in a Graph DatabaseManagement System (GDBMS). 2014 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402640464007 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.50
format Artículo científico
id redalyc_402640464007
institution Redalyc
language en
publishDate 2014
publisher Instituto Politécnico Nacional
spellingShingle NoXperanto: Crowdsourced Polyglot Persistence
Antonio Maccioni
Computación
big data
crowdsourcing
property graph
multidata bases
graph databases
NoXperanto: Crowdsourced Polyglot Persistence Antonio Maccioni Orlando Cassano Yongming Luo Juan Castrejón Genoveva Vargas-Solar Computación big data crowdsourcing property graph multidata bases graph databases This paper proposes NOXPERANTO, a novelcrowdsourcing approach to address querying over datacollections managed by polyglot persistence settings. The maincontribution of NOXPERANTO is the ability to solve complexqueries involving different data stores by exploiting queriesfrom expert users (i.e. a crowd of database administrators, dataengineers, domain experts, etc.), assuming that these users cansubmit meaningful queries. NOXPERANTO exploits the resultsof “meaningful queries” in order to facilitate the forthcomingquery answering processes. In particular, queries results areused to: (i) help non-expert users in using the multi-databaseenvironment and (ii) improve performances of the multi-databaseenvironment, which not only uses disk and memory resources,but heavily rely on network bandwidth. NOXPERANTO employsa layer to keep track of the information produced by the crowdmodeled as a Property Graph and managed in a Graph DatabaseManagement System (GDBMS). 2014 artículo científico 1870-9044 https://www.redalyc.org/articulo.oa?id=402640464007 en http://www.redalyc.org/revista.oa?id=4026 Polibits application/pdf Instituto Politécnico Nacional Polibits (México) Vol.50
title NoXperanto: Crowdsourced Polyglot Persistence
topic Computación
big data
crowdsourcing
property graph
multidata bases
graph databases
url https://www.redalyc.org/articulo.oa?id=402640464007