An Approach to Providing Cloud GIS Services Based on Scalable Cluster

被引：0

作者：

Fan, Xieyu ^{[2
,3
]}

Wu, Sheng ^{[1
]}

Ren, Yingchao ^{[2
]}

Deng, Fuliang ^{[2
]}

机构：

[1] Southwest Univ, Sch Comp & Informat Sci, Chongqing, Peoples R China

[2] Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing, Peoples R China

[3] Fujian Agr & Forest Univ, Sch Resources Environm, Fuzhou, Peoples R China

来源：

2013 21ST INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS) | 2013年

关键词：

component; cloud computing; cloud GIS; cluster; GIS service;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：4

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