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https://issues.apache.org/jira/browse/HDDS-8410?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17712120#comment-17712120
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Neil Joshi commented on HDDS-8410:
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Sure, posted it in https://issues.apache.org/jira/browse/HDDS-7711 attachments.
Thanks.
> Implement storage policies
> --------------------------
>
> Key: HDDS-8410
> URL: https://issues.apache.org/jira/browse/HDDS-8410
> Project: Apache Ozone
> Issue Type: Improvement
> Reporter: Maksim Myskov
> Priority: Major
>
> In order to optimize read performance, it is required to implement HDFS-like
> storage policies: HOT, WARM, COLD.
> {*}HOT{*}: all container’s replicas are stored on fast storage
> {*}WARM{*}: one container replica is stored on fast storage, others are
> stored on regular storage
> {*}COLD{*}: all container’s replicas are stored on slow storage
>
> *Use case example 1:*
> There is a cluster of K datanodes. Each datanode has N regular disks and M
> fast disks.
>
> *Use case example 2:*
> There is a cluster of N regular datanodes and M fast datanodes. Regular
> datanodes have regular (HDD) disks and fast datanodes have fast (SSD) disks.
>
> Requirements:
> * If a container’s heat state (hot-warm-cold) changes, container can be
> moved to a different disk on the same node or to a different node, depending
> on the cluster configuration.
> * container’s heat is automatically calculated based on data request
> statistics.
> * A file/directory’s heat state can be set manually. Example: if one set
> “key1/subkey/*” to be HOT data, all chunks related to this prefix must be
> considered HOT despite heatmap.
> Open questions:
> * How to calculate data heat map? A possible solution is that statistics are
> collected by datanodes and then sent to SCM in reports. SCM analyses these
> reports to build an actual data heat map.
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