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dc.date.accessioned 2012-10-29T14:57:37Z
dc.date.available 2012-10-29T14:57:37Z
dc.date.issued 2002-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/23147
dc.description.abstract 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 alternative sunder 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 en
dc.format.extent 638-650 es
dc.language en es
dc.subject textual databases en
dc.subject base de datos es
dc.subject indexing structures en
dc.title Analysis of two indexing structures for textual databases en
dc.type Objeto de conferencia es
sedici.creator.person Marín, Mauricio es
sedici.creator.person Bonacic, Carolina es
sedici.creator.person Casas, Sandra es
sedici.description.note Eje: Bases de Datos es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2002-10
sedici.relation.event VIII Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es

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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)