Tejun Heo 8a1dd1e547 workqueue: Track and monitor per-workqueue CPU time usage ...

Now that wq_worker_tick() is there, we can easily track the rough CPU time
consumption of each workqueue by charging the whole tick whenever a tick
hits an active workqueue. While not super accurate, it provides reasonable
visibility into the workqueues that consume a lot of CPU cycles.
wq_monitor.py is updated to report the per-workqueue CPU times.

v2: wq_monitor.py was using "cputime" as the key when outputting in json
    format. Use "cpu_time" instead for consistency with other fields.

Signed-off-by: Tejun Heo <tj@kernel.org>

2023-05-17 17:02:09 -10:00

..

wq_monitor.py

workqueue: Track and monitor per-workqueue CPU time usage

2023-05-17 17:02:09 -10:00