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Improve scheduler-estimator 

Signed-off-by: xin.li <xin.li@daocloud.io>
This commit is contained in:
xin.li 2022-06-15 23:07:51 +08:00
parent 24e522d205
commit 5c6c2a8f38
1 changed files with 3 additions and 3 deletions
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6
docs/scheduler-estimator.md
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@ -10,7 +10,7 @@ We can install Karmada by referring to [quick-start](https://github.com/karmada-
### Member cluster component is ready
Ensure that all member clusters has been joined and their corresponding karmada-scheduler-estimator is installed into karmada-host.
Ensure that all member clusters have been joined and their corresponding karmada-scheduler-estimator is installed into karmada-host.
You could check by using the following command:
@ -34,7 +34,7 @@ karmada-scheduler-estimator-member3-5c7d87f4b4-76gv9 1/1 Running 0
### Scheduler option '--enable-scheduler-estimator'
After all member clusters has been joined and estimators are all ready, please specify the option `--enable-scheduler-estimator=true` to enable scheduler estimator.
After all member clusters have been joined and estimators are all ready, please specify the option `--enable-scheduler-estimator=true` to enable scheduler estimator.
```bash
# edit the deployment of karmada-scheduler
@ -139,7 +139,7 @@ spec:
memory: 200Gi
```
As any node of member clusters does not have so many cpu and memory, so we will find workload scheduling failed.
As any node of member clusters does not have so many cpu and memory resources, we will find workload scheduling failed.
```bash
$ kubectl get deployments.apps