Large-Scale Query and XMatch, Entering the Parallel Zone

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Current 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.
Astronomical Data Analysis Software and Systems XV in San Lorenzo de El Escorial, Madrid, Spain, October 2005, to appear in the ASP Conference Series

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Databases, Computational Engineering, Finance, and Science

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http://salesiana.dossiersoluciones.com/handle/123456789/122747

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0701167
 http://arxiv.org/abs/cs/0701167

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arXiv