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https://issues.apache.org/jira/browse/MESOS-6200?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16896580#comment-16896580
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Benjamin Mahler commented on MESOS-6200:
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[~xds2000] I think this request is about minimum / maximum container cpu /
memory and I don't think that rlimits is the way to accomplish that. We will be
working on it via MESOS-9916.
> Hope mesos support soft and hard cpu/memory resource in the task
> ----------------------------------------------------------------
>
> Key: MESOS-6200
> URL: https://issues.apache.org/jira/browse/MESOS-6200
> Project: Mesos
> Issue Type: Improvement
> Components: containerization, docker, scheduler api
> Affects Versions: 0.28.2
> Environment: CentOS 7
> Kernel 3.10.0-327.28.3.el7.x86_64
> Mesos 0.28.2
> Docker 1.11.2
> Reporter: Lei Xu
> Priority: Major
> Labels: resource-management
>
> The Docker executor maybe could support soft/hard resource limit to enable
> more flexible resources sharing among the applications.
> || || CPU || Memory ||
> | hard limit| --cpu-period & --cpu-quota | --memory & --memory-swap|
> | soft limit| --cpu-shares | --memory-reservation|
> And now the task protobuf message has only one resource struct that used to
> describe the cgroup limit, and the docker executor handle is like the
> following, only --memory and --cpu-shares were set:
> {code}
> if (resources.isSome()) {
> // TODO(yifan): Support other resources (e.g. disk).
> Option<double> cpus = resources.get().cpus();
> if (cpus.isSome()) {
> uint64_t cpuShare =
> std::max((uint64_t) (CPU_SHARES_PER_CPU * cpus.get()),
> MIN_CPU_SHARES);
> argv.push_back("--cpu-shares");
> argv.push_back(stringify(cpuShare));
> }
> Option<Bytes> mem = resources.get().mem();
> if (mem.isSome()) {
> Bytes memLimit = std::max(mem.get(), MIN_MEMORY);
> argv.push_back("--memory");
> argv.push_back(stringify(memLimit.bytes()));
> }
> }
> {code}
> I hope that the executor and the protobuf message could separate the resource
> to the two parts: soft and hard. Then the user could set 2 levels resource
> limits for the docker.
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