Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8514-7
DOI :
10.1109/IITA-GRS.2010.5603956
