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From "Wei Zhou (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HDFS-7343) HDFS smart storage management
Date Wed, 15 Feb 2017 01:15:42 GMT

    [ https://issues.apache.org/jira/browse/HDFS-7343?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15867046#comment-15867046
] 

Wei Zhou commented on HDFS-7343:
--------------------------------

After discussed with [~andrew.wang] and [~drankye], in order to make the design doc more friendly
to read and maintain, I'll divide the previous doc into two: one focus on high-level design
and the other one focus on phase 1. Phase 1 targets at three scenarios:
* Cache hot data
* Move hot data to faster storage
* Archive cold data
Based on these cases, enough details will be provided to answer Andrew's great questions.
Thanks!

> HDFS smart storage management
> -----------------------------
>
>                 Key: HDFS-7343
>                 URL: https://issues.apache.org/jira/browse/HDFS-7343
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>            Reporter: Kai Zheng
>            Assignee: Wei Zhou
>         Attachments: HDFS-Smart-Storage-Management.pdf, HDFS-Smart-Storage-Management-update.pdf,
move.jpg
>
>
> As discussed in HDFS-7285, it would be better to have a comprehensive and flexible storage
policy engine considering file attributes, metadata, data temperature, storage type, EC codec,
available hardware capabilities, user/application preference and etc.
> Modified the title for re-purpose.
> We'd extend this effort some bit and aim to work on a comprehensive solution to provide
smart storage management service in order for convenient, intelligent and effective utilizing
of erasure coding or replicas, HDFS cache facility, HSM offering, and all kinds of tools (balancer,
mover, disk balancer and so on) in a large cluster.



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