Title :
An approach to providing cloud GIS services based on scalable cluster
Author :
Xieyu Fan ; Sheng Wu ; Yingchao Ren ; Fuliang Deng
Author_Institution :
Inst. of Remote Sensing Applic., Beijing, China
Abstract :
Currently, cloud computing is adopted by industry leaders to solve grant IT challenges faced by GIS. This paper proposed an alternative approach to providing cloud GIS services based on scalable cluster. Compared to ArcGIS server 10.1, the approach uses three functional clusters instead of P2P architecture for scalability. A system was implemented. A cluster consisted of 30 customized cheap machines was built for experiments. Experimental results show that, the approach performs well in scalability. Moreover, great speed-up is gained while dealing with massive visits.
Keywords :
cloud computing; file servers; geographic information systems; pattern clustering; ArcGIS server 10.1; cloud GIS services; cloud computing; customized cheap machines; grant IT challenges; industry leaders; scalable cluster; scalable cluster-based cloud GIS services; Cloud computing; Computer architecture; Scalability; Servers; Spatial databases; Standards; GIS service; cloud GIS; cloud computing; cluster;
Conference_Titel :
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location :
Kaifeng
DOI :
10.1109/Geoinformatics.2013.6626132