Large-Scale Query and XMatch, Entering the Parallel Zone

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dc.creatorNieto-Santisteban, Maria A.
dc.creatorThakar, Aniruddha R.
dc.creatorSzalay, Alexander S.
dc.creatorGray, Jim
dc.date2007-01-26
dc.date.accessioned2026-07-07T07:43:14Z
dc.date.available2026-07-07T07:43:14Z
dc.descriptionCurrent and future astronomical surveys are producing catalogs with millions and billions of objects. On-line access to such big datasets for data mining and cross-correlation is usually as highly desired as unfeasible. Providing these capabilities is becoming critical for the Virtual Observatory framework. In this paper we present various performance tests that show how using Relational Database Management Systems (RDBMS) and a Zoning algorithm to partition and parallelize the computation, we can facilitate large-scale query and cross-match.
dc.descriptionAstronomical Data Analysis Software and Systems XV in San Lorenzo de El Escorial, Madrid, Spain, October 2005, to appear in the ASP Conference Series
dc.identifierhttps://arxiv.org/abs/cs/0701167
dc.identifierhttp://arxiv.org/abs/cs/0701167
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/122747
dc.subjectDatabases
dc.subjectComputational Engineering, Finance, and Science
dc.titleLarge-Scale Query and XMatch, Entering the Parallel Zone
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