[jira] [Updated] (STORM-898) Add priorities and per user resource guarantees to Resource Aware Scheduler

["Rick Kellogg (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/STORM-898?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Rick Kellogg updated STORM-898:
-------------------------------
    Component/s: storm-core

> Add priorities and per user resource guarantees to Resource Aware Scheduler
> ---------------------------------------------------------------------------
>
>                 Key: STORM-898
>                 URL: https://issues.apache.org/jira/browse/STORM-898
>             Project: Apache Storm
>          Issue Type: New Feature
>          Components: storm-core
>            Reporter: Robert Joseph Evans
>
> In a multi-tenant environment we would like to be able to give individual users a guarantee of how much CPU/Memory/Network they will be able to use in a cluster.  We would also like to know which topologies a user feels are the most important to keep running if there are not enough resources to run all of their topologies.
> Each user should be able to specify if their topology is production, staging, or development. Within each of those categories a user should be able to give a topology a priority, 0 to 10 with 10 being the highest priority (or something like this).
> If there are not enough resources on a cluster to run a topology assume this topology is running using resources and find the user that is most over their guaranteed resources.  Shoot the lowest priority topology for that user, and repeat until, this topology is able to run, or this topology would be the one shot.   Ideally we don't actually shoot anything until we know that we would have made enough room.
> If the cluster is over-subscribed and everyone is under their guarantee, and this topology would not put the user over their guarantee.  Shoot the lowest priority topology in this workers resource pool until there is enough room to run the topology or this topology is the one that would be shot.  We might also want to think about what to do if we are going to shoot a production topology in an oversubscribed case, and perhaps we can shoot a non-production topology instead even if the other user is not over their guarantee.



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