Geospatial data services within Cloud computing environment

Abstract

The last decade has been a substantial increase in commodity desktop and distributed Geographic Information System applications with client-server or browser-server architectures, mainly as a result of faster hardware and network performance. Nevertheless, there are still problems, in the field of GIS applications, which can not be effectively cooperative used due to the complicated geospatial data formats and geographically distributed resources. The new approach of Utilities computing known by several names, such as Cloud computing, Grid computing or cluster computing is a new trend. As a data intensive application, GIS can benefit from Cloud computing to solve the application interoperability bottleneck. Hence, in this paper, we analyze the weakness and problems of traditional GIS, and then give the approach to solve those problems by Cloud computing and web services. This paper presents the architecture of Geospatial Data Service within Cloud computing environment and its relative technology. In conclusion, this paper provides a solution of execution model based on GML and Web Services. At last, we discuss its implementation process based on Intranet.

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