Research and implementation on spatial data storage and operation based on Hadoop platform

Author

Wang, Yonggang ; Wang, Sheng

Author_Institution

Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China

Volume

2

fYear

2010

fDate

28-31 Aug. 2010

Firstpage

275

Lastpage

278

Abstract

As the deep development of spatial information sharing service, it brings forward high request to usability and expansibility of supporting system. Based on large-scale scalable server cluster, cloud computing brings hopes to resolves the existing difficult problems in the domain of geospatial information service. In this paper, we imported cloud computing technology including MapReduce model and Hadoop platform into the domain of geographic information system (GIS). Those key technology problems in the application of GIS such as spatial data storage, spatial index and spatial operation were described and studied in detail. We evaluated the performance and efficiency of spatial operation in Hadoop experiment environment with the real world data set. It demonstrates the applicability of cloud computing technology in computing-intensive spatial applications.

Keywords

Internet; distributed processing; geographic information systems; network operating systems; pattern clustering; performance evaluation; Hadoop platform; MapReduce model; cloud computing; geographic information system; geospatial information service; information sharing; large scale scalable server cluster; performance evaluation; spatial data storage; Buildings; Computational modeling; Encoding; Geographic Information Systems; Indexes; Roads; Spatial databases; Hadoop; MapReduce; cloud computing; geographic information system; geospatial service;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-8514-7

Type

conf

DOI

10.1109/IITA-GRS.2010.5603956

Filename

5603956