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Research Papers

Geoprocessing in Cloud Computing platforms – a comparative analysis

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Pages 404-425 | Received 02 Dec 2011, Accepted 08 Nov 2012, Published online: 07 Dec 2012

Figures & data

Figure 1.  A general architecture for geoprocessing in Cloud platforms.

Figure 1.  A general architecture for geoprocessing in Cloud platforms.

Table 1. Typical cases on geospatial Cloud Computing.

Figure 2.  WPS Execution request using the HTTP GET method.

Figure 2.  WPS Execution request using the HTTP GET method.

Figure 3.  Workflow on using storage services in Web and Worker roles.

Figure 3.  Workflow on using storage services in Web and Worker roles.

Figure 4.  Workflow on using storage services in Google App Engine.

Figure 4.  Workflow on using storage services in Google App Engine.

Figure 5.  User interface for geoprocessing Cloud services in Google.

Figure 5.  User interface for geoprocessing Cloud services in Google.

Figure 6.  Performance tests of GeoSurf and Java Topology Suite services (20 executions).

Figure 6.  Performance tests of GeoSurf and Java Topology Suite services (20 executions).

Figure 7.  Costs of GeoSurf and Java Topology Suite services (20 executions).

Figure 7.  Costs of GeoSurf and Java Topology Suite services (20 executions).

Figure 8.  Performance tests of GeoSurf and Java Topology Suite services (different sizes).

Figure 8.  Performance tests of GeoSurf and Java Topology Suite services (different sizes).

Figure 9.  Costs of GeoSurf and Java Topology Suite services (different sizes).

Figure 9.  Costs of GeoSurf and Java Topology Suite services (different sizes).

Figure 10.  Performance tests of Java Topology Suite services in Google App Engine and Azure (20 executions).

Figure 10.  Performance tests of Java Topology Suite services in Google App Engine and Azure (20 executions).

Figure 11.  Performance tests of Java Topology Suite services in Google App Engine and Azure (different sizes).

Figure 11.  Performance tests of Java Topology Suite services in Google App Engine and Azure (different sizes).

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