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https://issues.apache.org/jira/browse/MESOS-1607?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14582714#comment-14582714
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Adam B commented on MESOS-1607:
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[~itamar_yowza], please note that you can let Mesos automatically rescind
offers after a timeout by specifying the `--offer_timeout` flag on the master.
> Introduce optimistic offers.
> ----------------------------
>
> Key: MESOS-1607
> URL: https://issues.apache.org/jira/browse/MESOS-1607
> Project: Mesos
> Issue Type: Epic
> Components: allocation, framework, master
> Reporter: Benjamin Hindman
> Attachments: optimisitic-offers.pdf
>
>
> The current implementation of resource offers only enable a single framework
> scheduler to make scheduling decisions for some available resources at a
> time. In some circumstances, this is good, i.e., when we don't want other
> framework schedulers to have access to some resources. However, in other
> circumstances, there are advantages to letting multiple framework schedulers
> attempt to make scheduling decisions for the _same_ allocation of resources
> in parallel.
> If you think about this from a "concurrency control" perspective, the current
> implementation of resource offers is _pessimistic_, the resources contained
> within an offer are _locked_ until the framework scheduler that they were
> offered to launches tasks with them or declines them. In addition to making
> pessimistic offers we'd like to give out _optimistic_ offers, where the same
> resources are offered to multiple framework schedulers at the same time, and
> framework schedulers "compete" for those resources on a
> first-come-first-serve basis (i.e., the first to launch a task "wins"). We've
> always reserved the right to rescind resource offers using the 'rescind'
> primitive in the API, and a framework scheduler should be prepared to launch
> a task and have those tasks go lost because another framework already started
> to use those resources.
> Introducing optimistic offers will enable more sophisticated allocation
> algorithms. For example, we can optimistically allocate resources that are
> reserved for a particular framework (role) but are not being used. In
> conjunction with revocable resources (the concept that using resources not
> reserved for you means you might get those resources revoked) we can easily
> create a "spot" market for unused resources, driving up utilization by
> letting frameworks that are willing to use revocable resources run tasks.
> In the limit, one could imagine always making optimistic resource offers.
> This bears a striking resemblance with the Google Omega model (an isomorphism
> even). However, being able to configure what resources should be allocated
> optimistically and what resources should be allocated pessimistically gives
> even more control to a datacenter/cluster operator that might want to, for
> example, never let multiple frameworks (roles) compete for some set of
> resources.
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