Issue No. 05 - September/October (2006 vol. 10)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2006.97
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.
Web services, e-government, e-tourism, tourism, spatial data infrastructure, SDI, geographic information services, GIS, caching, network adaptation, data granularity, and communication mode, geoprocessing
R. Klamma, C. Kiehle and M. Scholten, "Evaluating Performance in Spatial Data Infrastructures for Geoprocessing," in IEEE Internet Computing, vol. 10, no. , pp. 34-41, 2006.