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ENHANCING CARTOGRAPHIC GENERALIZATION PROCESSING WITH GRID COMPUTING POWER AND BEYOND

Theodor Foerster, Jantien Stoter, Javier Morales

Automated cartographic generalization requires a lot of processing power, due to its intrinsic complexity. Grid Computing is considered to be beneficial in this context. Grid Computing has specific requirements regarding the characteristics of deployed processes. This article validates the requirements of Grid Computing for the case of agent-based generalization. In particular, it describes how agentbased generalization can benefit from Grid Computing and describes a conceptual architecture. The architecture is demonstrated by the application of on-demand base maps for physical plans. Finally, an outlook is given which goes beyond the application of cartographic generalization and describes how automated generalization can support Web Service architectures in the future.

Schlüsselwörter: Cartographic generalization, Grid Computing, agent-based generalization

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