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Authordc.contributor.authorFeuerstein, Esteban 
Authordc.contributor.authorMarín, Mauricio es_CL
Authordc.contributor.authorMizrahi, Michel es_CL
Authordc.contributor.authorGil Costa, Verónica es_CL
Authordc.contributor.authorBaeza Yates, Ricardo es_CL
Admission datedc.date.accessioned2014-01-03T14:55:34Z
Available datedc.date.available2014-01-03T14:55:34Z
Publication datedc.date.issued2009
Cita de ítemdc.identifier.citationSPIRE '09 Proceedings of the 16th International Symposium on String Processing and Information Retrieval Pages 206 - 213en_US
Identifierdc.identifier.otherDoi:10.1007/978-3-642-03784-9-20
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/125944
Abstractdc.description.abstractTerm-partitioned indexes are generally inefficient for the evaluation of conjunctive queries, as they require the communication of long posting lists. On the other side, document-partitioned indexes incur in excessive overheads as the evaluation of every query involves the participation of all the processors, therefore their scalability is not adequate for real systems. We propose to arrange a set of processors in a two-dimensional array, applying term-partitioning at row level and document-partitioning at column level. Choosing the adequate number of rows and columns given the available number of processors, together with the selection of the proper ways of partitioning the index over that topology is the subject of this paperen_US
Lenguagedc.language.isoen_USen_US
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
Keywordsdc.subjectInverted Filesen_US
Títulodc.titleTwo-Dimensional Distributed Inverted Filesen_US
Document typedc.typeArtículo de revista


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile