2008
DOI: 10.1002/cpe.1312
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Building and applying geographical information system Grids

Abstract: We discuss the development and application of Web-service-based geographical information system (GIS) Grids. Following the WS-I+ approach of building Grids on Web service standards, we have developed data Grid components for archival and real-time data, map generating services that can be used to build user interfaces, information services for storing both stateless and stateful metadata, and service orchestration and management tools. Our goal is to support dynamically assembled Grid service collections that … Show more

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Cited by 41 publications
(19 citation statements)
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“…However savings from avoiding conventional XML parsing/serializing processing is still significant. We also investigate this non-mobile case [25]. We compare our system with the conventional SOAP communication model, and as expected, empirical results based on our performance model show substantial performance gains by adapting the approach.…”
Section: Resultsmentioning
confidence: 73%
“…However savings from avoiding conventional XML parsing/serializing processing is still significant. We also investigate this non-mobile case [25]. We compare our system with the conventional SOAP communication model, and as expected, empirical results based on our performance model show substantial performance gains by adapting the approach.…”
Section: Resultsmentioning
confidence: 73%
“…This provides the online browsing capability for very highresolution 2D images without the cost of downloading the entire full-resolution image to the client. 10 Since there is no Open Geospatial Consortium specification for a tiled web map service standard, Google developed its own based on a similar tiling scheme with its Google Map service. Google Maps Imagery (Google Maps) makes use of a quadtree system for storing and accessing its pyramid of imagery tiles.…”
Section: Quadtree Tiling Systemmentioning
confidence: 99%
“…There have been some success stories from the intersection field of grid computing and GIS. In some studies, the grid-computing technology is used to achieve effective geospatial data management, complex geospatial analyses, and parallel processing on remote sensing data (Shen et al 2004, Aydin et al 2008, Fang et al 2008.…”
Section: Please Scroll Down For Articlementioning
confidence: 99%