Moving Code in Spatial Data Infrastructures – Web Service Based Deployment of Geoprocessing Algorithms
Matthias Müller, Lars Bernard, Johannes Brauner
Abstract
Matthias Müller, Lars Bernard, Johannes Brauner
Abstract
Abstract This article proposes a concept for offering complex geoprocessing functionality in service‐based Spatial Data Infrastructures (SDI). Today, geoprocessing in SDI is typically realized in a data driven manner. Applying the suggested “moving code” approach in a case study in the field of Spatial Decision Support proves its applicability. The proposed solution is analyzed and assessed in terms of gained efficiency, performance behavior and support for distributed development of geoprocessing functionality. In data and computation intensive SDI applications the deployment of moving code proves to be beneficial.
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Abstract This article proposes a concept for offering complex geoprocessing functionality in service‐based Spatial Data Infrastructures (SDI). Today, geoprocessing in SDI is typically realized in a data driven manner. Applying the suggested “moving code” approach in a case study in the field of Spatial Decision Support proves its applicability. The proposed solution is analyzed and assessed in terms of gained efficiency, performance behavior and support for distributed development of geoprocessing functionality. In data and computation intensive SDI applications the deployment of moving code proves to be beneficial.
Key concepts: Geoprocessing, Software deployment, Computer science, Spatial analysis, Code (set theory), Service (business), Distributed computing, Field (mathematics)