Title :
Distributed storage and index of vector spatial data based on HBase
Author :
Lin Wang ; Bin Chen ; Yuehu Liu
Author_Institution :
Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
Abstract :
In order to deal with the storage and query problems of massive vector spatial data, we design a vector spatial data model based on HBase. Then, a parallel method of building Hilbert R-tree index using MapReduce and packed Hilbert R-tree algorithm is proposed. In the end, the proposed vector spatial data model and the method of building Hilbert R-tree index in parallel are proven to be effective and efficient by experiments.
Keywords :
Hilbert spaces; data handling; distributed processing; geographic information systems; query processing; GIS; HBase; Hilbert R-tree algorithm; Hilbert R-tree index; MapReduce; distributed storage; geographic information systems; parallel method; query problems; storage problems; vector spatial data index; Buildings; Data models; Distributed databases; Indexes; Spatial databases; Time-frequency analysis; Vectors; HBase; Hadoop; MapReduce; R-tree; Vector Spatial Data;
Conference_Titel :
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location :
Kaifeng
DOI :
10.1109/Geoinformatics.2013.6626052
