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https://issues.apache.org/jira/browse/MESOS-1607?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Joseph Wu updated MESOS-1607:
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Description:
*Background*
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.
*Feature*
We plan to take a step towards optimistic offers, by introducing primitives
that allow resources to be offered to multiple frameworks at once. At first,
we will use these primitives to optimistically allocate resources that are
reserved for a particular framework/role but have not been allocated by that
framework/role.
The work with optimistic offers will closely resemble the existing
oversubscription feature. Optimistically offered resources are likely to be
considered "revocable resources" (the concept that using resources not reserved
for you means you might get those resources revoked). In effect, we can may
create something like a "spot" market for unused resources, driving up
utilization by letting frameworks that are willing to use revocable resources
run tasks.
*Future Work*
This ticket tracks the introduction of some aspects of optimistic offers.
Taken to 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.
was:
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.
> 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
> Assignee: Artem Harutyunyan
> Labels: mesosphere
> Attachments: optimisitic-offers.pdf
>
>
> *Background*
> 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.
> *Feature*
> We plan to take a step towards optimistic offers, by introducing primitives
> that allow resources to be offered to multiple frameworks at once. At first,
> we will use these primitives to optimistically allocate resources that are
> reserved for a particular framework/role but have not been allocated by that
> framework/role.
> The work with optimistic offers will closely resemble the existing
> oversubscription feature. Optimistically offered resources are likely to be
> considered "revocable resources" (the concept that using resources not
> reserved for you means you might get those resources revoked). In effect, we
> can may create something like a "spot" market for unused resources, driving
> up utilization by letting frameworks that are willing to use revocable
> resources run tasks.
> *Future Work*
> This ticket tracks the introduction of some aspects of optimistic offers.
> Taken to 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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