[jira] [Updated] (YARN-10514) Introduce a dominant resource based schedule policy to increase the resource utilization, avoid heavy cluster resource fragments.

2024-01-04 Thread Shilun Fan (Jira)


 [ 
https://issues.apache.org/jira/browse/YARN-10514?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shilun Fan updated YARN-10514:
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Target Version/s: 3.5.0  (was: 3.4.0)

> Introduce a dominant resource based schedule policy to increase the resource 
> utilization, avoid heavy cluster resource fragments.
> -
>
> Key: YARN-10514
> URL: https://issues.apache.org/jira/browse/YARN-10514
> Project: Hadoop YARN
>  Issue Type: Improvement
>Affects Versions: 3.3.0, 3.4.0
>Reporter: Qi Zhu
>Assignee: Qi Zhu
>Priority: Major
> Attachments: YARN-10514.001.patch
>
>
> When we schedule in multi node lookup policy for async scheduling, or just 
> use heartbeat update based scheduling, we both meet scheduling fragments. 
> When cpu-intensive jobs or gpu-intensive or memory-intensive etc, the cluster 
> will meet heavy waste of resources, so this issue will help to move scheduler 
> support dominant resource based schedule, to help our cluster get better 
> resource utilization, also in order to load balance nodemanager resource 
> distribution.
>  



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[jira] [Updated] (YARN-10514) Introduce a dominant resource based schedule policy to increase the resource utilization, avoid heavy cluster resource fragments.

2020-12-04 Thread zhuqi (Jira)


 [ 
https://issues.apache.org/jira/browse/YARN-10514?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

zhuqi updated YARN-10514:
-
Description: 
When we schedule in multi node lookup policy for async scheduling, or just use 
heartbeat update based scheduling, we both meet scheduling fragments. When 
cpu-intensive jobs or gpu-intensive or memory-intensive etc, the cluster will 
meet heavy waste of resources, so this issue will help to move scheduler 
support dominant resource based schedule, to help our cluster get better 
resource utilization, also in order to load balance nodemanager resource 
distribution.

 

  was:When we schedule in multi node lookup policy for async scheduling, or 
just use heartbeat update based scheduling, we both meet scheduling fragments. 
When cpu-intensive jobs or gpu-intensive or memory-intensive etc, the cluster 
will meet heavy waste of resources, so this issue will help to move scheduler 
support dominant resource based schedule, to help our cluster get better 
resource utilization.


> Introduce a dominant resource based schedule policy to increase the resource 
> utilization, avoid heavy cluster resource fragments.
> -
>
> Key: YARN-10514
> URL: https://issues.apache.org/jira/browse/YARN-10514
> Project: Hadoop YARN
>  Issue Type: Improvement
>Affects Versions: 3.3.0, 3.4.0
>Reporter: zhuqi
>Assignee: zhuqi
>Priority: Major
> Attachments: YARN-10514.001.patch
>
>
> When we schedule in multi node lookup policy for async scheduling, or just 
> use heartbeat update based scheduling, we both meet scheduling fragments. 
> When cpu-intensive jobs or gpu-intensive or memory-intensive etc, the cluster 
> will meet heavy waste of resources, so this issue will help to move scheduler 
> support dominant resource based schedule, to help our cluster get better 
> resource utilization, also in order to load balance nodemanager resource 
> distribution.
>  



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