ArcGIS Server Performance and Scalability - Testing ... - Esri

More documents

Recommendations

Info

Design Phase—<strong>Performance</strong> Factors GIS Services—Geocode • Use local instead of UNC locator files. • Services with large locators take a few minutes to warm up. • New 10 Single Line Locators offer simplicity in address queries but might be slower than traditional point locators. 30
Design Phase—<strong>Performance</strong> Factors GIS Services—Geocode Response Time (sec) Thread Count 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 Single user response times are similar. Geocoding Comparison Line 1 2 3 4 5 5 6 7 8 9 10 11 Geocode by Line 0.1 0.06 0.08 0.08 0.09 0.09 0.12 0.11 0.14 0.2 0.2 0.2 Geocode by Point 0.04 0.05 0.05 0.05 0.06 0.06 0.07 0.09 0.1 0.11 0.12 0.14 Point 31
Page 1 and 2: Esri International User Conference
Page 3 and 4: Objectives Performance engineering
Page 5 and 6: Performance, Scalability, and Capac
Page 7 and 8: Performance and Scalability Definit
Page 9 and 10: Performance and Scalability Definit
Page 11 and 12: Project Life Cycle Phase Performanc
Page 13 and 14: Requirements Phase Performance engi
Page 15 and 16: Performance Engineering —Solution
Page 17 and 18: Design Phase Performance Factors 17
Page 19 and 20: Design Phase—Performance Factors
Page 29: Design Phase—Performance Factors
Page 37 and 38: Design Phase—Capacity Planning 37
Page 39 and 40: Design Phase—Capacity Planning
Page 41 and 42: Design Phase—Capacity Planning Ad
Page 43 and 44: Design Phase—Capacity Planning Un
Page 55 and 56: Performance Engineering— Solution
Page 57 and 58: Development Phase—Testing Perform
Page 63 and 64: Development Phase—Testing Test Da
Page 65 and 66: Development Phase—Testing Attribu
Page 67 and 68: Development Phase—Testing Test Da
Page 69 and 70: Demo Discovering Capabilities using
Page 71 and 72: Development Phase—Testing Test Sc
Page 73 and 74: Development Phase—Testing Load Te
Page 75 and 76: Development Phase—Testing Load Te
Page 77 and 78: Development Phase—Testing Execute
Page 79 and 80: Development Phase—Testing Analysi
Page 81 and 82:
Development Phase—Testing Analysi
Page 83 and 84:
Page 85 and 86:
Page 87 and 88:
Page 89 and 90:
Demo Fiddler Request Profiling Fidd
Page 91 and 92:
Deployment Phase Performance engine
Page 93 and 94:
Deployment Phase Performance tuning
Page 95 and 96:
Deployment Phase—Tuning Process
Page 97 and 98:
Deployment Phase—Tuning Web diagn
Page 99 and 100:
Deployment Phase—Tuning Web diagn
Page 101 and 102:
Deployment Phase—Tuning Analyze S
Page 103 and 104:
Deployment Phase—Tuning mxdperfst
Page 105 and 106:
Deployment Phase—Tuning Data sour
Page 107 and 108:
Deployment Phase—Tuning Starting
Page 109 and 110:
Deployment Phase—Tuning Data Sour
Page 111 and 112:
Deployment Phase—Tuning Data Sour
Page 113 and 114:
Operation and Maintenance
Page 115 and 116:
Test Results as Input into Capacity
Page 117 and 118:
Page 119 and 120:
Page 121 and 122:
Page 123 and 124:
Page 125 and 126:
Page 127 and 128:
Demo System Designer Calculate Capa
Page 129 and 130:
Related sessions • Enterprise GIS
Page 131 and 132:
Questions?
Page 133:
Contact us • Andrew Sakowicz - as
show all

ArcGIS Server Performance and Scalability - Testing ... - Esri

Create successful ePaper yourself

Delete template?

Save as template?