I agree with Vinod that the Master accumulates a lot of statistics that can
be used for smarter decisions about cluster scaling. However, I'm not sure
this feature should reside in Mesos. I would rather expose statistics and /
or recommendations and let external tooling or an operator do the job.
On 31 Jul 2015 7:15 pm, "Vinod Kone" <vinodk...@gmail.com> wrote:

> Thanks for pinging again Mathieu!
>
> I think auto-scaling of a Mesos cluster is a nifty feature to have. The
> only question in my mind (and likely others) is whether this functionality
> should reside in Mesos, or a framework or an operator. As you mentioned,
> Netflix took the framework way but it doesn't necessarily work in a
> multi-framework environment. If the functionality lies with an operator it
> has to be a library (likely a service) so that more people can take
> advantage of it.
>
> In my mind, it is not hard to imagine having this functionality in Mesos.
> Since Mesos is in the best position to know the (current and perhaps
> projected) state of the cluster it could make smart decisions about the
> shape and size of the new nodes that can be added. This also becomes
> interesting in the face of the quota
> <https://issues.apache.org/jira/browse/MESOS-1791> work that we are
> currently doing.
>
> Having said that, I think you can do this today by writing an allocator
> module. Note that Mesos already provides a requestResources() API call
> (similar to Wish in your ppt) that is passed to the allocator. You should
> be able to write an allocator module that takes this signal and talks to
> your favorite IaaS API to spin up new node(s) if necessary.
>
>
> On Fri, Jul 31, 2015 at 8:29 AM, Roger Ignazio <rigna...@gmail.com> wrote:
>
> > With the number of IaaS providers out there, and the fact that Mesos
> > doesn't really concern itself with where it's running (IaaS, bare-metal,
> > on-prem, in the cloud), this sounds more like an operations problem than
> a
> > feature that should be in Mesos core.
> >
> > By any chance, have you had a chance to look at
> > https://github.com/thefactory/autoscale-python? I'd venture to guess
> that
> > project (or a homegrown solution talking to your IaaS' API), combined
> with
> > some custom AWS AMIs (or vSphere templates or OpenStack images or ...),
> > would satisfy your use-case.
> >
> > -- Roger
> >
> > On Fri, Jul 31, 2015 at 5:37 AM, VELTEN, MATHIEU <
> mathieu.vel...@atos.net>
> > wrote:
> >
> > > Hi,
> > >
> > > I am currently working for some projects using Mesos at Atos Toulouse
> and
> > > we are using it on top of a classical IaaS.
> > >
> > > After playing with Mesos and looking at some code it appears to me that
> > > there is no elasticity mechanism in place. I opened an issue in Jira
> some
> > > months ago here, which contains most of the content of this email :
> > > https://issues.apache.org/jira/browse/MESOS-2453
> > >
> > > Here is what I have in mind (ppt in the following link for the detailed
> > > and visual version ☺ ) :
> > > - Add the possibility for a framework to signal that it has some work
> > > pending (with or without further semantics regarding what resources is
> > > wished ?)
> > > - Modify the Mesos algo to call a pluggable driver when no resource is
> > > available and at least one framework has some work to do.
> > >    In this case the driver should scale up the Mesos cluster by
> launching
> > > VMs. How much and of which size is a little tricky here without adding
> > > semantics to the framework signal.
> > > - We should also add a flag somewhere to mark the slave as "volatile"
> so
> > > we can prefer the use of static resources, and shut down the volatile
> > > slaves after some time left unused.
> > >
> > >
> > >
> >
> https://docs.google.com/presentation/d/1eNQSvDQ64gPNbmf0YVPq9tIWLMCbAHExos5WXrm0uqI/edit?usp=sharing
> > >
> > > Does it look doable to you ? what do you think about the principle ?
> > > Do you think we can add some semantics to the "I have work to do"
> > > framework signal without breaking the two-level scheduling principle ?
> > > I don't think it violates it since both mechanisms (signaling a need
> and
> > > effectively take a resource from an offer) are fully independent in my
> > > proposal but I feel a little out of my league to be sure.
> > >
> > > This proposal currently doesn't specifically address bin packing,
> however
> > > with the aforementioned modifications in place it should be easy to add
> > > since we know which resources are volatile.
> > >
> > > I have seen some other work (by Netflix for example) address this
> problem
> > > however it always seems to be at the framework level and not inside the
> > > core Mesos architecture, is there a reason for that except lack of time
> > for
> > > specification/contribution ?
> > >
> > >
> >
> http://fr.slideshare.net/spodila/aws-reinvent-2014-talk-scheduling-using-apache-mesos-in-the-cloud
> > >
> > > Regards,
> > >
> > > Mathieu Velten
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