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When cgroups all reach low limit, cgroups can dispatch more IO. This could make some cgroups dispatch more IO but others not, and even some cgroups could dispatch less IO than their low limit. For example, cg1 low limit 10MB/s, cg2 limit 80MB/s, assume disk maximum bandwidth is 120M/s for the workload. Their bps could something like this: cg1/cg2 bps: T1: 10/80 -> T2: 60/60 -> T3: 10/80 At T1, all cgroups reach low limit, so they can dispatch more IO later. Then cg1 dispatch more IO and cg2 has no room to dispatch enough IO. At T2, cg2 only dispatches 60M/s. Since We detect cg2 dispatches less IO than its low limit 80M/s, we downgrade the queue from LIMIT_MAX to LIMIT_LOW, then all cgroups are throttled to their low limit (T3). cg2 will have bandwidth below its low limit at most time. The big problem here is we don't know the maximum bandwidth of the workload, so we can't make smart decision to avoid the situation. This patch makes cgroup bandwidth change smooth. After disk upgrades from LIMIT_LOW to LIMIT_MAX, we don't allow cgroups use all bandwidth upto their max limit immediately. Their bandwidth limit will be increased gradually to avoid above situation. So above example will became something like: cg1/cg2 bps: 10/80 -> 15/105 -> 20/100 -> 25/95 -> 30/90 -> 35/85 -> 40/80 -> 45/75 -> 22/98 In this way cgroups bandwidth will be above their limit in majority time, this still doesn't fully utilize disk bandwidth, but that's something we pay for sharing. Scale up is linear. The limit scales up 1/2 .low limit every throtl_slice after upgrade. The scale up will stop if the adjusted limit hits .max limit. Scale down is exponential. We cut the scale value half if a cgroup doesn't hit its .low limit. If the scale becomes 0, we then fully downgrade the queue to LIMIT_LOW state. Note this doesn't completely avoid cgroup running under its low limit. The best way to guarantee cgroup doesn't run under its limit is to set max limit. For example, if we set cg1 max limit to 40, cg2 will never run under its low limit. Signed-off-by:Shaohua Li <shli@fb.com> Signed-off-by:
Jens Axboe <axboe@fb.com>
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