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A grid-computing platform facilitates geocomputational workflow composition to process big geosciences data while fully using idle resources to accelerate processing speed. An experiment with aerosol optical depth retrieval from satellite data shows a 25 percent improvement in runtime over a single high-performance computer.
The execution of Geospatial applications usually requires large computational and storage resources due to the massive amount of data, high resolutions, and large geographical areas they are using. Different parallel and distributed environments, such as Cluster, Multicore, Grid, and Cloud satisfy mostly the necessary requirements for running such applications. Depending on application features, data...
The Black Sea Catchment area is well known for subjects such as ecologically unsustainable development or inadequate resource management. The EnviroGRIDS project addresses these issues by using emerging information technologies. The enviroGRIDS Web Portal allows the users to access the geospatial functionality given by Web infrastructure, and to high power computation resources given by Grid infrastructure...
The concept and classification of the Grid-enabled Spatial Information Workflow are proposed in this paper. The workflow modeling method based on the directed graph and spatial information workflow description method on the BPEL (Business Process Execution Language) specification are proposed. The spatial information workflow running process is discussed in detail. The prototype system is developed...
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