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Case of Acceleration Outside Mainland China
Last updated: 2020-04-28 14:50:47
Case of Acceleration Outside Mainland China
Last updated: 2020-04-28 14:50:47

Test Description

Test methods

A third-party network application performance monitoring and speed test method widely used in the industry is adopted, and the test service provider is Bonree.

Test parameters

Test time
May 24, 2010 00:00–May 30, 2018 20:00
Client address
Countries and regions such as Hong Kong (China), Singapore, and Malaysia
Origin server address
IDC in Virginia, US
Test link
https://****/**/GetPage?PageId=7141974606000205
Comparison method
The same test link is used to compare the direct access to the origin server and ECDN accelerated access by setting host IP and CNAME resolution respectively


Test Results

Performance curve





Usability curve




Note:
1. After ECDN is used, the average access performance of the product is improved by 104.71%, and the page loading performance is significantly improved;
2. In cross-border access scenarios, traditional public network access is affected by network packet losses and long delays, and the access stability fluctuates greatly. After ECDN is used, the availability and stability of page access are greatly improved.

Data summary analysis

Monitoring Task
Performance (Seconds)
Availability (%)
Monitors
Average
Best
Worse
Average
Best
Worse
Erroneous Points
Monitored Points
ECDN Accelerated Access
0.637
0.337
1.440
99.93
100.00
98.44
7
10694
Direct Access to Origin Server
1.304
0.989
2.872
98.37
100.00
93.55
173
10620


Data details

Time
ECDN Accelerated Access
Direct Access to Origin Server
Performance (Seconds)
Availability (%)
Monitored Points
Performance (Seconds)
Availability (%)
Monitored Points
May 24, 2018 01:00
0.583
100.00
128
1.287
98.39
124
May 24, 2018 03:00
0.622
100.00
136
1.454
100.00
128
May 24, 2018 05:00
0.648
100.00
120
1.256
100.00
108
May 24, 2018 07:00
0.664
100.00
132
1.241
98.33
120
May 24, 2018 09:00
0.586
100.00
120
1.159
96.77
124
May 24, 2018 11:00
0.614
100.00
132
1.319
97.41
116
May 24, 2018 13:00
0.696
100.00
120
1.335
98.39
124
May 24, 2018 15:00
0.621
100.00
116
1.152
97.58
124
May 24, 2018 17:00
0.547
98.44
128
1.181
98.33
120
May 24, 2018 19:00
0.723
100.00
140
1.302
95.31
128
May 24, 2018 21:00
0.693
100.00
128
1.209
99.19
124
May 24, 2018 23:00
0.734
100.00
124
1.257
99.24
132
May 25, 2018 01:00
0.589
100.00
136
1.254
98.44
128
May 25, 2018 03:00
0.636
100.00
144
1.277
100.00
124
May 25, 2018 05:00
0.578
100.00
128
1.262
99.17
120
May 25, 2018 07:00
0.606
100.00
116
1.343
100.00
120
May 25, 2018 09:00
0.706
100.00
120
1.305
100.00
128
May 25, 2018 11:00
0.563
100.00
136
1.253
99.22
128
May 25, 2018 13:00
0.701
100.00
124
1.255
99.24
132
May 25, 2018 15:00
0.624
100.00
128
1.277
97.66
128
May 25, 2018 17:00
0.698
100.00
136
1.359
96.09
128
May 25, 2018 19:00
0.697
99.11
112
1.160
96.77
124
May 25, 2018 21:00
0.744
100.00
124
1.312
96.43
140
May 25, 2018 23:00
0.711
100.00
136
1.284
100.00
136
May 26, 2018 01:00
0.643
100.00
132
1.316
99.22
128
May 26, 2018 03:00
0.683
100.00
128
1.248
100.00
120
May 26, 2018 05:00
0.596
100.00
136
1.307
100.00
128
May 26, 2018 07:00
0.678
100.00
128
1.258
97.66
128
May 26, 2018 09:00
0.709
100.00
132
1.298
100.00
128
May 26, 2018 11:00
0.601
100.00
132
1.315
99.24
132
May 26, 2018 13:00
0.553
98.57
140
1.195
97.66
128
May 26, 2018 15:00
0.583
100.00
128
1.153
97.41
116
May 26, 2018 17:00
0.658
100.00
132
1.414
98.53
136
May 26, 2018 19:00
0.768
100.00
136
1.430
96.32
136
May 26, 2018 21:00
0.603
100.00
132
1.285
98.48
132
May 26, 2018 23:00
0.792
100.00
124
1.218
97.58
124
May 27, 2018 01:00
0.659
100.00
132
1.249
98.48
132
May 27, 2018 03:00
0.667
100.00
140
1.310
99.24
132
May 27, 2018 05:00
0.617
100.00
132
1.396
97.73
132
May 27, 2018 07:00
0.627
100.00
132
1.374
98.48
132
May 27, 2018 09:00
0.580
100.00
124
1.399
100.00
136
May 27, 2018 11:00
0.600
100.00
140
1.317
100.00
128
May 27, 2018 13:00
0.661
100.00
132
1.420
96.97
132
May 27, 2018 15:00
0.668
100.00
136
1.463
100.00
132
May 27, 2018 17:00
0.544
100.00
124
1.233
93.97
116
May 27, 2018 19:00
0.722
100.00
132
1.374
97.14
140
May 27, 2018 21:00
0.764
100.00
116
1.281
93.55
124
May 27, 2018 23:00
0.686
100.00
128
1.272
93.94
132
May 28, 2018 01:00
0.666
100.00
120
1.473
97.79
136
May 28, 2018 03:00
0.603
100.00
132
1.297
100.00
124
May 28, 2018 05:00
0.549
100.00
124
1.467
99.29
140
May 28, 2018 07:00
0.589
100.00
124
1.312
100.00
140
May 28, 2018 09:00
0.601
100.00
132
1.415
100.00
128
May 28, 2018 11:00
0.602
100.00
140
1.263
99.17
120
May 28, 2018 13:00
0.613
100.00
128
1.372
100.00
128
May 28, 2018 15:00
0.663
100.00
122
1.531
100.00
124
May 28, 2018 17:00
0.576
100.00
124
1.309
98.53
136
May 28, 2018 19:00
0.614
100.00
136
1.290
95.00
140
May 28, 2018 21:00
0.583
100.00
132
1.275
95.00
140
May 28, 2018 23:00
0.674
100.00
120
1.239
99.26
136
May 29, 2018 01:00
0.657
100.00
132
1.503
99.29
140
May 29, 2018 03:00
0.565
100.00
136
1.469
100.00
136
May 29, 2018 05:00
0.544
100.00
132
1.162
100.00
136
May 29, 2018 07:00
0.579
100.00
136
1.343
100.00
132
May 29, 2018 09:00
0.567
100.00
120
1.310
98.39
124
May 29, 2018 11:00
0.585
100.00
132
1.262
100.00
128
May 29, 2018 13:00
0.606
100.00
136
1.309
97.86
140
May 29, 2018 15:00
0.655
100.00
144
1.253
99.26
136
May 29, 2018 17:00
0.536
100.00
140
1.408
94.29
140
May 29, 2018 19:00
0.735
100.00
124
1.255
95.45
132
May 29, 2018 21:00
0.655
100.00
124
1.305
97.32
112
May 29, 2018 23:00
0.668
100.00
128
1.222
99.22
128
May 30, 2018 01:00
0.568
100.00
140
1.252
100.00
136
May 30, 2018 03:00
0.647
100.00
144
1.262
100.00
136
May 30, 2018 05:00
0.607
100.00
140
1.156
100.00
124
May 30, 2018 07:00
0.573
100.00
124
1.263
100.00
132
May 30, 2018 09:00
0.680
99.24
132
1.417
100.00
136
May 30, 2018 11:00
0.621
100.00
136
1.461
99.24
132
May 30, 2018 13:00
0.606
99.26
136
1.296
99.22
128
May 30, 2018 15:00
0.769
100.00
136
1.335
95.45
132
May 30, 2018 17:00
0.522
100.00
130
1.199
96.97
132
May 30, 2018 19:00
0.703
100.00
146
1.204
96.53
144

Notes

1. Data in the above case comes from a third-party performance monitoring service provider, and the actual performance is subject to actual end user access results.
2. The above acceleration effect is for reference only, which is subject to factors such as customer business type and origin server network conditions.
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