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Lessons Learned ArcGIS Server capacity, performance and other design considerations
WiDNR ArcGIS Server lessons learned ,[object Object],[object Object],[object Object],[object Object],[object Object]
CPU determines throughput (ArcGIS Server capacity)
Our metric for throughput ,[object Object],[object Object],[object Object],[object Object]
Industry metric for throughput ,[object Object],[object Object],[object Object],[object Object]
Relationship between our throughput and industry CPU metrics
Use optimized map services
Non-optimized ArcGIS Server (.mxd) services are CPU-inefficient
November 2010 traffic
ArcIMS/ArcGIS Server breakdown
ArcIMS / ArcGIS Server CPU load
For optimized map services (.msd) normalized CPU use was equivalent between ArcIMS and ArcGIS Server
Rendering dynamic imagery is the most expensive AGS operation
Load test by worker process ,[object Object]
Example of AGS load using dynamic imagery ,[object Object],[object Object],[object Object]
Example of AGS load using dynamic imagery ,[object Object],[object Object],[object Object]
Example of AGS load using cached imagery ,[object Object],[object Object],[object Object]
Interactive mapping remains the most expensive operation
CPU use by worker process ,[object Object],[object Object],[object Object],[object Object],[object Object]
Allow ArcGIS Server to scale workers
Network throughput: 2 workers versus unlimited workers
Other topics we researched ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank you!  Any questions? Erik Sandin Wisconsin Dept. Natural Resources [email_address] 608-264-8917

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