>Is there a way for a process in the docker container to determine how
many cpus it has been allocated?
Because docker limit the resource before start the container, I think there
isn't a way to change container resource usage after it has already run.
You only could allocate resource before launch a container so far.
On Sep 23, 2015 10:31 PM, "Clarke, Trevor" <[email protected]> wrote:

> That's just the scheduler...I did locate the appropriate docker run call
> and it appears that mesos cpu offer * 1024 is used as the cpu share so
> there's no hard enforcement of total cpus but the scheduler block is scaled
> to the number of requested cpus. It also appears there's no way to
> determine the cpu share from within docker without explicitly passing an
> environment variable, etc.
> ------------------------------
> *From:* Guangya Liu [[email protected]]
> *Sent:* Wednesday, September 23, 2015 9:41 AM
> *To:* [email protected]
> *Subject:* Re: how does resource allocation work with docker?
>
> Hi Clarke,
>
> You can take a look at the framework for docker here
> https://github.com/apache/mesos/blob/master/src/examples/docker_no_executor_framework.cpp
> <https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_apache_mesos_blob_master_src_examples_docker-5Fno-5Fexecutor-5Fframework.cpp&d=AwMFaQ&c=jF7FvYH6t0RX1HrEjVCgHQ&r=BZAdW7eZ7BA-TVm8CsncxQ&m=myFl_koVz_iyPrvAE5EQBW4Cmn4ocS6C5KCd07WzvjA&s=PWUrWtXV7HgaC4GxJ0HstRpy_b9dqvCptTljtTzQrx0&e=>
>
> All of the resource limitations for a docker task should be defined in the
> framework.
>
> Thanks,
>
> Guangya
>
> On Wed, Sep 23, 2015 at 9:33 PM, Clarke, Trevor <[email protected]> wrote:
>
>> When a framework accepts an offer and starts a docker task, how does
>> mesos enforce the task's allocated cpus? Is CPU share used and scaled
>> appropriately? Are cpu sets explicitly specified to limit execution to the
>> allocated cpus? Is there a way for a process in the docker container to
>> determine how many cpus it has been allocated? (so it can adjust fan-out
>> size, etc. for optimal execution)
>>
>>
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