Apache Spark commented on SPARK-17637:

User 'zhzhan' has created a pull request for this issue:

> Packed scheduling for Spark tasks across executors
> --------------------------------------------------
>                 Key: SPARK-17637
>                 URL: https://issues.apache.org/jira/browse/SPARK-17637
>             Project: Spark
>          Issue Type: Improvement
>          Components: Scheduler
>    Affects Versions: 2.1.0
>            Reporter: Zhan Zhang
>            Assignee: Zhan Zhang
>            Priority: Minor
> Currently Spark scheduler implements round robin scheduling for tasks to 
> executors. Which is great as it distributes the load evenly across the 
> cluster, but this leads to significant resource waste in some cases, 
> especially when dynamic allocation is enabled.

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