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WMS Benchmarking Cadcorp GeognoSIS, Contellation-SDI, ERDAS APOLLO, GeoServer, Mapnik,  MapServer, Oracle MapViewer,  QGIS MapServer
Executive summary ,[object Object]
Raster: native (EPSG:25831) and projected (Google Mercator) ,[object Object],[object Object]
Raster: GeoTiff,  ECW Raster
Benchmarking History ,[object Object]
FOSS4G 2008: OpenGeo run and published the second comparison 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 a cooperative benchmarking exercise ,[object Object]
Datasets Used: Vector Used a subset of BTN25, the official Spanish  1:25000 vector dataset  ,[object Object]
2117012 contour lines
270069 motorways & roads (line)
668066 toponyms (point)
Total:  18 GB  worth of shapefiles
Datasets Used: Raster ,[object Object]
56 GeoTIFFs, around Barcelona
Total: 120  GB
Datasets Used: Extents
Datasets Used: Extents Canary Islands are over there, but they are always left out
Datasets Used: Credits ,[object Object]
Datasets Used: Issues ,[object Object]
.shp files bigger than 2 GB ,[object Object],[object Object],[object Object]
Caused some servers to not filter features by attribute ,[object Object],[object Object]
Rules of engagement ,[object Object]
Each server performs exactly the same workload ,[object Object]
Same data backends
Same image output format ,[object Object]
Data used cannot be modified for display, other than indexing
All testing to be done on the same benchmarking machines ,[object Object]
Hardware Configuration Bench WMS Linux/Windows Database JMeter Shapefiles ECW GeoTIFF Oracle PostGIS
Hardware specs ,[object Object]
Processor, 6300, 1.86, 2M, Core Duo-conroe, Burn 2
2Gb RAM  160 Gb Hard drive 7200 rpm OS: Centos 5.5 i386 ,[object Object],[object Object]
Processor: Intel® Xeon® E5630 2.53Ghz, 12M Cache,Turbo, HT, 1066MHz Max Mem
8GB Memory (4x2GB)
2TB 7.2K RPM SATA
OS: Windows Server 64bit, Centos 5.5 x86-64 ,[object Object],[object Object]
250Gb Hard Drive 7200 rpm, 4Gb Ram
OS: Centos 5.5 x86-64
Methodology ,[object Object]
Each test uses a random set of requests stored in a CSV file: no two requests in the same run are equal, but all servers perform the same workload
For each request the random factors are: ,[object Object]
The geographic envelope (extent) ,[object Object]
The other GIS server is shut down while the tests are run
Vector Output ,[object Object]
PNG24 output AntiAliased, Scale dependent rendering
Raster Output ,[object Object]
JPEG output (90% quality)
Resource consumption notes ,[object Object]
Common bottlenecks are the CPU, the disk access, the network access, the remote database access
Looking at system monitoring on the WMS machines during the benchmark runs, the disk was playing the role of the bottleneck in most tests. For some servers, for some runs, the data became fully cached and performance increased dramatically
Disk-bound v.s. unbound scenarios ,[object Object]
Some teams managed to turn this  disk-bound  scenario into a  disk-unbound  scenario, allowing servers to fully run in memory, with no disc access and putting all load on the CPU
Results observed in the  disk-unbound  scenario were 5 to 10 times better than in the  disk-bound  scenario
This was possible thanks to the conjunction of the following: ,[object Object]
the 2000 WMS requests are the exact same between all runs
the Server RAM memory is of 8GB
Disk-bound v.s. unbound scenarios ,[object Object]
The Windows server was down in the last benchmark days, preventing some teams to try to reproduce the disk unbound scenario
As apples cannot be compared to oranges, all participants did agree that  teams were not mandatory to publish their benchmark results in the final presentation
I/O reading schematics File system cache Operating System ,[object Object]
Read from disk in memory
Avoids repeated reads to the disk WMS server Disk
Disk bound situation File system cache ,[object Object]
data out of the cache
That data will have to
be read again, that will push
The next run starts from the
beginning ,[object Object]
getting purged Operating System WMS server Disk
CPU bound situation File system cache ,[object Object]
Subsequent reads will be
performed from the cache only ,[object Object]
Subsequent reads will be
performed from the cache only
No more disk access! Operating System ,[object Object],WMS server Disk
Server/Team Findings La Rambla, Barcelona, 2010-09-07
GeoServer: Overview ,[object Object]
Simone Giannecchini, Daniele Romagnoli: raster optimizations

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WMS Performance Shootout 2010

Editor's Notes

  1. .