Sorry for the inappropriate email. 
It seems the current discussion has unintentionally misrepresented the issue 
and its scope. 
Therefore, the discuss thread is closed now.
To keep our focus on the main objective, I’ll start a new discussion thread 
specifically for this purpose.

Thank you for your understanding, and sorry for any distraction this may have 
caused.

Best,
Yuepeng Pan

On 2024/11/05 04:47:59 Yuepeng Pan wrote:
> Hi, community!
> 
> 
> 
> When working on JIRA[1]: during adaptive rescaling, what strategy should be 
> used 
> 
> to select candidate slots for ensuring efficient/expected resource 
> utilization?
> 
> We have received some lively discussions and valuable feedback
> (thanks for Matthias, Rui, Gyula, Maximilian, Tison, etc.):
> 
> - When deploying jobs with an Application cluster, 
> 
> there seems to be a preference for using the fewest TaskManagers.
> 
> - When deploying with a Session cluster, a slot spread-out 
> 
> strategy(taskmanager.load-balance.mode=SLOTS)[2] is favored 
> 
> to achieve more balanced resource usage and to ignore the minimal 
> taskmanagers strategy.
> 
> - Some comments have also suggested introducing configurable parameters 
> 
> to specify strategy priorities, giving users more flexibility 
> 
> when there are conflicts between different strategies as[3]
> 
> - more discussion details or valuable ide could be viewed here[4]
> 
> 
> 
> 
> Therefore, we need a discussion to clarify these matters and solutions.
> 
> It’s worth mentioning that this discussion should also include 
> 
> taskmanager.load-balance.mode=SLOTS[2]
> 
> for two main reasons: 
> 
> - Firstly, the current discussions have already highlighted this issue, 
> 
> - Secondly, this aspect will soon be introduced with the upcoming JIRA 
> changes.
> 
> 
> 
> 
> Based on the existing discussions, I have summarized some conflicting items 
> 
> and proposed simple alternatives strategies[5] if no new configuration items
> 
> are introduced, hoping to provide a little value in advancing the current 
> work.
> 
> 
> 
> 
> Looking forward to your comments and attention!
> 
> Thank you.
> 
> 
> 
> 
> [1] https://issues.apache.org/jira/browse/FLINK-33977
> 
> [2] https://issues.apache.org/jira/browse/FLINK-33390
> 
> [3] https://issues.apache.org/jira/browse/FLINK-36426
> 
> [4] https://github.com/apache/flink/pull/25218#issuecomment-2401913141
> 
> [5] 
> https://docs.google.com/document/d/1NfY6O8mdkr3gKczJS9dGE3LACrf18sum_6GCaXYq4as/edit?tab=t.0#heading=h.flwxxqng4hh7
> 
> 
> 

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