3 ms·
Eh, not necessarily. Queuing is a function of throughput, which by definition takes processing time into account. Queue length = arrival rate * processing ti
by pjot 3y ago
Eh, not necessarily. Queuing is a function of throughput, which by definition takes processing time into account.
Queue length = arrival rate * processing time
Transitive properties allow you to solve for one variable, given you have the other two. This is known as Little’s Law[0].
With this, you can now deduce/estimate how long a ticket will be in the backlog, how fast you need to complete a task, how long until everything is finished.
[0]: https://en.m.wikipedia.org/wiki/Little%27s_law https://en.m.wikipedia.org/wiki/Little%27s_law
- sampo 3y ago> This is known as Little’s Law Little's law lets you calculate the third variable easily, given that you know the other two. You can calculate from existing data. As such, it doesn't help you calculate forecasts. Or you can, if you make assumptions on the distributions. But some outliers can then turn the reality very different from what your forecast was. > how fast you need to complete a task You can calculate how fast you need to complete a task. But if an outlier task comes your way, it doesn't help you to actually complete that particular task in time.