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https://issues.apache.org/jira/browse/YUNIKORN-2039?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hsuan Zong Wu updated YUNIKORN-2039:
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Description:
*Test Case*
Deploy Jobs with 10,000 Pods at the same time, but randomly configure Affinity
and Anti-Affinity settings on the Pods. This setup enables us to monitor and
assess the throughput variances across different schedulers.
*Expected Results*
1. Compare the Kube-Scheduler, Yunikorn standard mode, Yunikorn plugin mode.
2. Test both node (anti-)affinity & pod (anti-)affinity.
3. Record the test files in k8shim.
4. Record the random seed used in test & results & charts in Yunikorn-site.
was:
*Test Case*
Deploy Jobs with 10,000 Pods at the same time, but randomly configure Affinity
and Anti-Affinity settings on the Pods. This setup enables us to monitor and
assess the throughput variances across different schedulers.
*Expected Results*
1. Compare the Kube-Scheduler, Yunikorn standard mode, Yunikorn plugin mode.
2. Test both node (anti-)affinity & pod (anti-)affinity.
2. Record the test files in k8shim.
3. Record the random seed used in test & results & charts in Yunikorn-site.
> Testing the performance under multiple Affinity & Anti-Affinity settings
> ------------------------------------------------------------------------
>
> Key: YUNIKORN-2039
> URL: https://issues.apache.org/jira/browse/YUNIKORN-2039
> Project: Apache YuniKorn
> Issue Type: Sub-task
> Components: documentation, shim - kubernetes
> Reporter: Hsuan Zong Wu
> Priority: Major
>
> *Test Case*
> Deploy Jobs with 10,000 Pods at the same time, but randomly configure
> Affinity and Anti-Affinity settings on the Pods. This setup enables us to
> monitor and assess the throughput variances across different schedulers.
> *Expected Results*
> 1. Compare the Kube-Scheduler, Yunikorn standard mode, Yunikorn plugin mode.
> 2. Test both node (anti-)affinity & pod (anti-)affinity.
> 3. Record the test files in k8shim.
> 4. Record the random seed used in test & results & charts in Yunikorn-site.
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