Once the remote servers have returned the best data for each location, the second consider series in the primary vector can be completed. In this example, let’s suppose that no agents are available at any remote location.
The following table shows how user adjustments at the origin and remote servers yield the adjusted EWT for each location.
Location |
Actual EWT of remote best (sec) |
User adjustment on origin server |
User adjustment on remote server |
Adjustment applied by origin server (sec) |
Adjusted EWT used in BSR calculations (sec) |
1 |
60 |
30 |
0 |
30 |
90 |
2 |
45 |
30 |
10 |
40 |
85 |
3 |
40 |
50 |
20 |
70 |
110 |
4 |
70 |
50 |
0 |
50 |
120 |
The second consider series identifies location 2 as the best remote location, with an adjusted EWT of 85, and the queue-to best step interflows this call to location 2.
