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Evaluating Performance in Spatial Data Infrastructures for Geoprocessing
September/October 2006 (vol. 10 no. 5)
pp. 34-41
Marius Scholten, RWTH Aachen University
Ralf Klamma, RWTH Aachen University
Christian Kiehle, University of Bonn
Effective and efficient Web services infrastructures for geoprocessing are essential for fields such as e-government and e-tourism. However, few model-based approaches exist that let researchers analyze and measure system implementation performance. Here, the authors present a performance evaluation of a spatial data infrastructure (SDI) implementation based on common standards. The SDI's purpose is to compute groundwater vulnerability function. The authors study four influential performance issues: caching, network adaptation, data granularity, and communication mode.
Index Terms:
Web services, e-government, e-tourism, tourism, spatial data infrastructure, SDI, geographic information services, GIS, caching, network adaptation, data granularity, and communication mode, geoprocessing
Citation:
Marius Scholten, Ralf Klamma, Christian Kiehle, "Evaluating Performance in Spatial Data Infrastructures for Geoprocessing," IEEE Internet Computing, vol. 10, no. 5, pp. 34-41, Sept.-Oct. 2006, doi:10.1109/MIC.2006.97
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