DocumentCode
3446450
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
fYear
2013
fDate
20-22 June 2013
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location
Kaifeng
ISSN
2161-024X
Type
conf
DOI
10.1109/Geoinformatics.2013.6626132
Filename
6626132
Link To Document