Parallel Query Processing in Textual Databases

Autores
Marín, Mauricio; Bonacic, Carolina; Casas, Sandra
Año de publicación
2002
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This article describes strategies devised to improve the efficiency of two classical index data structures for parallel textual databases. The design and cost evaluation is effected on top of the bulk-synchronous model of parallel computing. This allows us to compare different alternatives under the same framework in a way which is independent of programming details and architecture of the parallel machine. Our interest is on query processing upon cluster of PCs, and thereby we focus on communication and synchronization optimization.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Bases de datos
Programación paralela
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/183655
Acceder
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network_name_str SEDICI (UNLP)
spelling Parallel Query Processing in Textual DatabasesMarín, MauricioBonacic, CarolinaCasas, SandraCiencias InformáticasBases de datosProgramación paralelaThis article describes strategies devised to improve the efficiency of two classical index data structures for parallel textual databases. The design and cost evaluation is effected on top of the bulk-synchronous model of parallel computing. This allows us to compare different alternatives under the same framework in a way which is independent of programming details and architecture of the parallel machine. Our interest is on query processing upon cluster of PCs, and thereby we focus on communication and synchronization optimization.Sociedad Argentina de Informática e Investigación Operativa2002-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf59-71http://sedici.unlp.edu.ar/handle/10915/183655enginfo:eu-repo/semantics/altIdentifier/issn/1666-1133info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:41:58Zoai:sedici.unlp.edu.ar:10915/183655Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:41:58.956SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Parallel Query Processing in Textual Databases
title Parallel Query Processing in Textual Databases
spellingShingle Parallel Query Processing in Textual Databases
Marín, Mauricio
Ciencias Informáticas
Bases de datos
Programación paralela
title_short Parallel Query Processing in Textual Databases
title_full Parallel Query Processing in Textual Databases
title_fullStr Parallel Query Processing in Textual Databases
title_full_unstemmed Parallel Query Processing in Textual Databases
title_sort Parallel Query Processing in Textual Databases
dc.creator.none.fl_str_mv Marín, Mauricio
Bonacic, Carolina
Casas, Sandra
author Marín, Mauricio
author_facet Marín, Mauricio
Bonacic, Carolina
Casas, Sandra
author_role author
author2 Bonacic, Carolina
Casas, Sandra
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Bases de datos
Programación paralela
topic Ciencias Informáticas
Bases de datos
Programación paralela
dc.description.none.fl_txt_mv This article describes strategies devised to improve the efficiency of two classical index data structures for parallel textual databases. The design and cost evaluation is effected on top of the bulk-synchronous model of parallel computing. This allows us to compare different alternatives under the same framework in a way which is independent of programming details and architecture of the parallel machine. Our interest is on query processing upon cluster of PCs, and thereby we focus on communication and synchronization optimization.
Sociedad Argentina de Informática e Investigación Operativa
description This article describes strategies devised to improve the efficiency of two classical index data structures for parallel textual databases. The design and cost evaluation is effected on top of the bulk-synchronous model of parallel computing. This allows us to compare different alternatives under the same framework in a way which is independent of programming details and architecture of the parallel machine. Our interest is on query processing upon cluster of PCs, and thereby we focus on communication and synchronization optimization.
publishDate 2002
dc.date.none.fl_str_mv 2002-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/183655
url http://sedici.unlp.edu.ar/handle/10915/183655
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1666-1133
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
59-71
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instname_str Universidad Nacional de La Plata
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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