Keyboard Interrupt of the `dask-scheduler` CLI results in `tornado.util.TimeoutError`

**What happened**:

Running then cancelling with `^C` the `dask-scheduler` CLI script gives me a tornado `TimeoutError`:

```
$ dask-scheduler
distributed.scheduler - INFO - -----------------------------------------------
distributed.scheduler - INFO - -----------------------------------------------
distributed.scheduler - INFO - Clear task state
distributed.scheduler - INFO - Scheduler at: tcp://192.168.4.130:8786
distributed.scheduler - INFO - dashboard at: :8787
^Cdistributed.scheduler - INFO - End scheduler at 'tcp://192.168.4.130:8786'
Traceback (most recent call last):
File "/Users/bryan/mambaforge/envs/parquet/bin/dask-scheduler", line 10, in
sys.exit(go())
File "/Users/bryan/mambaforge/envs/parquet/lib/python3.9/site-packages/distributed/cli/dask_scheduler.py", line 217, in go
main()
File "/Users/bryan/mambaforge/envs/parquet/lib/python3.9/site-packages/click/core.py", line 1128, in __call__
return self.main(*args, **kwargs)
File "/Users/bryan/mambaforge/envs/parquet/lib/python3.9/site-packages/click/core.py", line 1053, in main
rv = self.invoke(ctx)
File "/Users/bryan/mambaforge/envs/parquet/lib/python3.9/site-packages/click/core.py", line 1395, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/Users/bryan/mambaforge/envs/parquet/lib/python3.9/site-packages/click/core.py", line 754, in invoke
return __callback(*args, **kwargs)
File "/Users/bryan/mambaforge/envs/parquet/lib/python3.9/site-packages/distributed/cli/dask_scheduler.py", line 208, in main
loop.run_sync(run)
File "/Users/bryan/mambaforge/envs/parquet/lib/python3.9/site-packages/tornado/ioloop.py", line 529, in run_sync
raise TimeoutError("Operation timed out after %s seconds" % timeout)
tornado.util.TimeoutError: Operation timed out after None seconds
```

**What you expected to happen**:

No error is raised when you cancel the process.

**Environment**:

- Dask version: dask-scheduler, version 2022.2.1
- Python version: 3.9
- Operating System: macOS
- Install method (conda, pip, source): conda