Hi Stephan, Glad someone is sharing interest in this topic. My company is also very interested in this topic. Sharing a couple of thoughts:
1. I believe there real difficulties here come from isolation: how Mesos would handle over committed memory because it cannot throttle like CPU? 2. Handling this within one single Mesos framework could differ from the case of running multiple frameworks; 3. I know you are active on Apache Aurora. I believe right now Aurora does not consider ram as revocable resources, but we probably work together to expand that once we know the isolation story. On Mon, Mar 21, 2016 at 8:30 AM, Erb, Stephan <[email protected]> wrote: > Judging from the epic description, this seems to target the > oversubscription of reserved resources on the framework level. > > > However, my question was targeting the task level, where one task of a > framework is requesting more RAM than it actually uses, and another tasks > from the same framework can be started as revocable and use those slack > resources. > > > The latter is already possible with compressible resources such as CPU or > bandwidth. I am now interested in non-compressible resources (i.e. memory). > > > ------------------------------ > *From:* Guangya Liu <[email protected]> > *Sent:* Monday, March 21, 2016 15:53 > *To:* [email protected] > *Subject:* Re: Current state of the oversubscription feature > > https://issues.apache.org/jira/browse/MESOS-4967 is planning to introduce > "Oversubscription for reservation", can you please help check if this > help? > > Thanks, > > Guangya > > On Mon, Mar 21, 2016 at 8:54 PM, Erb, Stephan <[email protected] > > wrote: > >> Hi everyone, >> >> I am interested in the current state of the Mesos oversubscription >> feature [1]. In particular, I would like to know if anyone has taken a >> closer look at non-compressible resources such as memory. >> >> Anything I should be aware of? >> >> Thanks and Best Regards, >> Stephan >> >> [1] http://mesos.apache.org/documentation/latest/oversubscription/ > > > -- Cheers, Zhitao Li
