my want:  write a daemon to query mesos framework api, get the statistics
from mesos api. then invoke the IaaS's API to scale the cluster size.

2015-08-02 22:32 GMT+08:00 Alex Rukletsov <a...@mesosphere.com>:

> 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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-- 
Deshi Xiao
Twitter: xds2000
E-mail: xiaods(AT)gmail.com

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