DISTRIBUTION PROCEDURE: HOW TO GET RID of MESS :)
DISTRIBUTION PROCEDURE: HOW TO GET RID FROM MESS :)
Distribution of tickets to logged-in users
Tickets will be distributed with the following thumb rule:
The ticket should be distributed equally
The ticket should be distributed as per individual handling capacity
Distribution mechanism can be understood by the following case studies:
CASE STUDY 01:
For example: Logged-in users: 2
User 1: Handling capacity: 80
User 2: Handling capacity: 20
If total handling capacity is 100 and ticket count is 50, then average capacity will be 25 per each user.
User 1 will get the 25 tickets and User 2 will get 20 tickets at the first iteration.
Remaining 5 tickets will be distributed to the user 1 at the second iteration.
CASE STUDY 02:
For example: Logged-in users: 2
User 1: Handling capacity: 20
User 2: Handling capacity: 80
If total handling capacity is 100 and ticket count is 50, then average capacity will be 25 per each user.
User 1 will get the 20 tickets and User 2 will get 25 tickets at the first iteration.
Remaining 5 tickets will be distributed to the user 2 at the second iteration.
CASE STUDY 03:
For example: Logged-in users: 2
User 1: Handling capacity: 50
User 2: Handling capacity: 50
If total handling capacity is 100 and ticket count is 50, then average capacity is 25 per each user.
User 1 will get the 25 tickets and User 2 will get 25 tickets at the first iteration.
CASE STUDY 04:
For example: Logged-in users: 3
User 1: Handling capacity: 20
User 2: Handling capacity: 30
User 3: Handling capacity: 50
If total handling capacity is 100 and ticket count is 100, then average capacity is 33 per user.
User 1 will get the 20 tickets, User 2 will get 30 tickets and User 3 will get 33 tickets at the first iteration.
Remaining 17 tickets will be distributed to the user 3 at the second iteration.
Last updated