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Journal Article

Benchmarking and improving point cloud data management in MonetDB

Authors

Martinez-Rubi,  Oscar
External Organizations;

van Oosterom,  Peter
External Organizations;

/persons/resource/romulo

Goncalves,  Romulo
0 Pre-GFZ, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Tijssen,  Theo
External Organizations;

Ivanova,  Milena
External Organizations;

Kersten,  Martin L.
External Organizations;

Alvanaki,  Foteini
External Organizations;

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Citation

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


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025564
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.