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https://issues.apache.org/jira/browse/HDFS-16158?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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tomscut resolved HDFS-16158.
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Resolution: Abandoned
> Discover datanodes with unbalanced volume usage by the standard deviation
> --------------------------------------------------------------------------
>
> Key: HDFS-16158
> URL: https://issues.apache.org/jira/browse/HDFS-16158
> Project: Hadoop HDFS
> Issue Type: New Feature
> Reporter: tomscut
> Assignee: tomscut
> Priority: Major
> Labels: pull-request-available
> Attachments: image-2021-08-11-10-14-58-430.png
>
> Time Spent: 1h 50m
> Remaining Estimate: 0h
>
> Discover datanodes with unbalanced volume usage by the standard deviation
> In some scenarios, we may cause unbalanced datanode disk usage:
> 1. Repair the damaged disk and make it online again.
> 2. Add disks to some Datanodes.
> 3. Some disks are damaged, resulting in slow data writing.
> 4. Use some custom volume choosing policies.
> In the case of unbalanced disk usage, a sudden increase in datanode write
> traffic may result in busy disk I/O with low volume usage, resulting in
> decreased throughput across datanodes.
> In this case, we need to find these nodes in time to do diskBalance, or other
> processing. Based on the volume usage of each datanode, we can calculate the
> standard deviation of the volume usage. The more unbalanced the volume, the
> higher the standard deviation.
> To prevent the namenode from being too busy, we can calculate the standard
> variance on the datanode side, transmit it to the namenode through heartbeat,
> and display the result on the Web of namenode. We can then sort directly to
> find the nodes on the Web where the volumes usages are unbalanced.
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