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dc.date.accessioned 2012-10-19T16:43:41Z
dc.date.available 2012-10-19T16:43:41Z
dc.date.issued 2006-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/22685
dc.description.abstract In this paper we describe the parallelization of a data structure used to perform multimedia web searches. Multimedia Web Engines have not been deeply studied and is a challenging issue. The data structure selected to index the queries is the Spatial Approximation Tree, where the complexity measure is given by the number of distance computed to retrieve those objects close enough to the query. We present a parallel method for load balancing the work performed by the processors. The method can adapt itself to the changes of the workload produced by the user queries. Empirical results with di fferent kind of databases show e fficient performance in a real cluster of PC. The algorithm is designed with the bulk-synchronous model of parallel computing en
dc.format.extent 1448-1459 es
dc.language en es
dc.subject Metrics Space, en
dc.subject Trees es
dc.subject web engine en
dc.subject Search process es
dc.subject spatial approximation en
dc.subject indexes en
dc.subject BSP en
dc.title Multimedia web searches using static SAT en
dc.type Objeto de conferencia es
sedici.creator.person Gil Costa, Graciela Verónica es
sedici.creator.person Printista, Alicia Marcela es
sedici.creator.person Reyes, Nora Susana es
sedici.creator.person Marín, Mauricio es
sedici.description.note VII Workshop de Procesamiento Distribuido y Paralelo (WPDP) 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 2006-10
sedici.relation.event XII 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) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)