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https://issues.apache.org/jira/browse/MESOS-3765?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14993646#comment-14993646
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Adam B commented on MESOS-3765:
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We would definitely consider role weights. A role's fair share is calculated
based on the number of active roles (with registered frameworks) and their
weights. With 4 roles each with a weight of 1, each role's fair share of the
cluster is 25% of the total cpu/mem/disk resources. If one of those roles has 5
frameworks in it, then each of those frameworks' fair share is 5% of the
cluster resources. (There are no per-framework weights.)
Quota would be global rather than per-node, but even with a global quota, it
may be subdivided so that a framework can say "I need 5 instances of {2cpu, 4GB
RAM}, although I don't care which nodes those instances come from." As such, we
would use {2cpu, 4GB RAM} as the minimum per-node offer to a framework, rather
than offering the entire node. See MESOS-1791 for more information about quota.
> Make offer size adjustable (granularity)
> ----------------------------------------
>
> Key: MESOS-3765
> URL: https://issues.apache.org/jira/browse/MESOS-3765
> Project: Mesos
> Issue Type: Improvement
> Components: allocation
> Reporter: Alexander Rukletsov
> Assignee: Guangya Liu
>
> The built-in allocator performs "coarse-grained" allocation, meaning that it
> always allocates the entire remaining agent resources to a single framework.
> This may heavily impact allocation fairness in some cases, for example in
> presence of numerous greedy frameworks and a small number of powerful agents.
> A possible solution would be to allow operators explicitly specify
> granularity via allocator flags. While this can be tricky for non-standard
> resources, it's pretty straightforward for {{cpus}} and {{mem}}.
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