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An alternative faster max-min fairness implementation

Hi Prof Sivaraman.

I find your script in this repo when googling a max-min fairness implementation in python.

However, it turns out to eat most cpu time when I put it into my simulator. So I came up with a faster implementaion using recursion. This new implementation only supports equal weight, hopefully it can be useful to other people wtih same requirement.

New implementation is here: https://github.com/taolluo/desmod/blob/f56590138eea68e890d2aa9a5210a88a40cc8bed/docs/examples/DP_allocation/max_min_fairness.py#L4

Best,
Tao Luo

DRR and weighted max min fairness

Does DRR achieve weighted max min fairness for arbitrarily large weights and bounded simulation time ? I am guessing not, and I think this will be an issue for any packet based fair queuing scheme.

Convergence issues

M/M/1 queue does not converge to steady state distribution under FIFO scheduling.

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