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Bench Marking 2010

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WMS Benchmarking Cadcorp GeognoSIS, Contellation-SDI, ERDAS APOLLO, GeoServer, Mapnik, MapServer, Oracle MapViewer, QGIS MapServer Open Source Geospatial Foundation 1 Executive summary ã Compare the performance of WMS servers – 8 teams ã In a number of different workloads: – Vector: native (EPSG:4326) and projected (Google Mercator) street level – Raster: native (EPSG:25831) and projected (Google Mercator) ã Against different data backends: – Vector: shapefiles, PostGIS, Oracle Spatial – Ra
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  Open Source Geospatial FoundationOpen Source Geospatial Foundation11 Cadcorp GeognoSIS, Contellation-SDI,ERDAS APOLLO, GeoServer, Mapnik,MapServer, Oracle MapViewer,QGIS MapServer WMS Benchmarking  Open Source Geospatial FoundationOpen Source Geospatial Foundation22 Executive summary ã Compare the performance of WMS servers – 8 teams ã In a number of different workloads: – Vector: native (EPSG:4326) and projected (GoogleMercator) street level – Raster: native (EPSG:25831) and projected (GoogleMercator) ã  Against different data backends: – Vector: shapefiles, PostGIS, Oracle Spatial – Raster: GeoTiff, ECW Raster   Open Source Geospatial FoundationOpen Source Geospatial Foundation33 Benchmarking History ã 4th FOSS4G benchmarking exercise. Past exercises included: – FOSS4G 2007: Refractions Research run and publishedthe first comparison with the help of GeoServer andMapServer developers. Focus on big shapefiles, postgis,minimal styling – FOSS4G 2008: OpenGeo run and published the secondcomparison with some review from the MapServer developers. Focus on simple thematic mapping, raster data access, WFS and tile caching – FOSS4G 2009: MapServer and GeoServer teams in acooperative benchmarking exercise ã Friendly competition: goal is to improve all software  Open Source Geospatial FoundationOpen Source Geospatial Foundation44 Datasets Used: Vector  Used a subset of BTN25, the official Spanish1:25000 vector dataset ã 6465770 buildings (polygon) ã 2117012 contour lines ã 270069 motorways & roads (line) ã 668066 toponyms (point) ã Total: 18 GB worth of shapefiles

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