Title :
A geohash-based index for spatial data management in distributed memory
Author :
Jiajun Liu ; Haoran Li ; Yong Gao ; Yu Hao ; Dan Jiang
Author_Institution :
Inst. of Remote Sensing & Geogr. Inf. Syst., Peking Univ., Beijing, China
Abstract :
In Geographical Information System (GIS) fields, the performance of data access is critical for the whole performance of applications. But spatial data access becomes the performance bottleneck of high-tech research and development in GIS. In this study, features are mapped into a distributed memory through distributed hash functions. Then, the Geohash method is adopted to build a distributed spatial index for the distributed memory. At the end of this article, a contrast experiment is carried out between our method and a traditional spatial database. The results show that for complex data operation, our method is dozens faster. To sum it up, through the key technology above, the reading and writing performance of spatial data makes a great progress, which provides a solid technical foundation for high performance geographical computation.
Keywords :
distributed memory systems; geographic information systems; geophysics computing; GIS fields; Geohash method; distributed memory; geographical computation; geographical information system; geohash-based index; solid technical foundation; spatial data management; traditional spatial database; Blogs; Indexes; Prototypes; distributed memory; geohash; spatial data index;
Conference_Titel :
Geoinformatics (GeoInformatics), 2014 22nd International Conference on
Conference_Location :
Kaohsiung
DOI :
10.1109/GEOINFORMATICS.2014.6950819