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https://issues.apache.org/jira/browse/FLINK-10644?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16680808#comment-16680808
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ryantaocer commented on FLINK-10644:
------------------------------------

An initial design doc:

https://docs.google.com/document/d/1X_Pfo4WcO-TEZmmVTTYNn44LQg5gnFeeaeqM7ZNLQ7M/edit?usp=sharing

> Batch Job: Speculative execution
> --------------------------------
>
>                 Key: FLINK-10644
>                 URL: https://issues.apache.org/jira/browse/FLINK-10644
>             Project: Flink
>          Issue Type: New Feature
>          Components: JobManager
>            Reporter: JIN SUN
>            Assignee: JIN SUN
>            Priority: Major
>             Fix For: 1.8.0
>
>
> Strugglers/outlier are tasks that run slower than most of the all tasks in a 
> Batch Job, this somehow impact job latency, as pretty much this straggler 
> will be in the critical path of the job and become as the bottleneck.
> Tasks may be slow for various reasons, including hardware degradation, or 
> software mis-configuration, or noise neighboring. It's hard for JM to predict 
> the runtime.
> To reduce the overhead of strugglers, other system such as Hadoop/Tez, Spark 
> has *_speculative execution_*. Speculative execution is a health-check 
> procedure that checks for tasks to be speculated, i.e. running slower in a 
> ExecutionJobVertex than the median of all successfully completed tasks in 
> that EJV, Such slow tasks will be re-submitted to another TM. It will not 
> stop the slow tasks, but run a new copy in parallel. And will kill the others 
> if one of them complete.
> This JIRA is an umbrella to apply this kind of idea in FLINK. Details will be 
> append later.



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