Print Email Facebook Twitter Benchmarking and improving point cloud data management in MonetDB Title Benchmarking and improving point cloud data management in MonetDB Author Martinez-Rubi, O. Van Oosterom, P.J.M. Goncalves, R. Tijssen, T.P.M. Ivanova, M. Kersten, M.L. Alvanaki, F. Faculty Architecture and The Built Environment Department OTB Date 2015-07-01 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. To reference this document use: http://resolver.tudelft.nl/uuid:7eb47734-d6bd-43cd-b993-2b7734b0068e Publisher ACM ISSN 1946-7729 Source SIGSPATIAL Special, 6 (2), 2015 Part of collection Institutional Repository Document type journal article Rights (c) 2015 The Author(s) Files PDF 321909.pdf 728.1 KB Close viewer /islandora/object/uuid:7eb47734-d6bd-43cd-b993-2b7734b0068e/datastream/OBJ/view