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Parallel and Distributed Processing Symposium, International (2009)
Rome, Italy
May 23, 2009 to May 29, 2009
ISBN: 978-1-4244-3751-1
pp: 1-12
Vijay S. Kumar , Department of Computer Science and Engineering, The Ohio State University, USA
Tahsin Kurc , Center for Comprehensive Informatics, Emory University, USA
Joel Saltz , Center for Comprehensive Informatics, Emory University, USA
Ghaleb Abdulla , Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, USA
Scott R. Kohn , Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, USA
Celeste Matarazzo , Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, USA
ABSTRACT
Spatial object association, also referred to as crossmatch of spatial datasets, is the problem of identifying and comparing objects in two or more datasets based on their positions in a common spatial coordinate system. In this work, we evaluate two crossmatch algorithms that are used for astronomical sky surveys, on the following database system architecture configurations: (1) Netezza Performance Server®, a parallel database system with active disk style processing capabilities, (2) MySQL Cluster, a high-throughput network database system, and (3) a hybrid configuration consisting of a collection of independent database system instances with data replication support. Our evaluation provides insights about how architectural characteristics of these systems affect the performance of the spatial crossmatch algorithms. We conducted our study using real use-case scenarios borrowed from a large-scale astronomy application known as the Large Synoptic Survey Telescope (LSST).
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CITATION
Vijay S. Kumar, Tahsin Kurc, Joel Saltz, Ghaleb Abdulla, Scott R. Kohn, Celeste Matarazzo, "Architectural implications for spatial object association algorithms", Parallel and Distributed Processing Symposium, International, vol. 00, no. , pp. 1-12, 2009, doi:10.1109/IPDPS.2009.5161078
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