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  Benchmarking and improving point cloud data management in MonetDB

Martinez-Rubi, O., van Oosterom, P., Goncalves, R., Tijssen, T., Ivanova, M., Kersten, M. L., Alvanaki, F. (2015): Benchmarking and improving point cloud data management in MonetDB. - SIGSPATIAL special, 6, 2, 11-18.
https://doi.org/10.1145/2744700.2744702

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 Creators:
Martinez-Rubi, Oscar1, Author
van Oosterom, Peter1, Author
Goncalves, Romulo2, Author              
Tijssen, Theo1, Author
Ivanova, Milena1, Author
Kersten, Martin L.1, Author
Alvanaki, Foteini1, Author
Affiliations:
1External Organizations, ou_persistent22              
20 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146023              

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 Abstract: The popularity, availability and sizes of point cloud data sets are increasing, thus raising interesting data management and processing challenges. Various software solutions are available for the management of point cloud data. A benchmark for point cloud data management systems was defined and it was executed for several solutions. In this paper we focus on the solutions based on the column-store MonetDB, the generic out-of-the-box approach is compared with two alternative approaches that exploit the spatial coherence of the data to improve the data access and to minimize the storage requirements.

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 Dates: 2015-03-102015
 Publication Status: Finally published
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 Identifiers: DOI: 10.1145/2744700.2744702
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Title: SIGSPATIAL special
Source Genre: Journal, other
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Pages: - Volume / Issue: 6 (2) Sequence Number: - Start / End Page: 11 - 18 Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/202404191