I don't think implementation will be very difficult. The bigger question is
this a technology people are open to?
The nearest competitor is YARN (
Mesos seems a bit more geared toward general purpose usage (with several
existing frameworks), while YARN seems more specific to Hadoop. But I'd be
glad to hear some other thoughts.
On Mon, Oct 28, 2013 at 12:55 PM, Ravi K Madduri <madd...@mcs.anl.gov>wrote:
> This is something I am very interested in. The three parts below make
> sense to me. I would be very happy to discuss further and provide any help
> to move this forward.
> On Oct 26, 2013, at 2:43 PM, Kyle Ellrott <kellr...@soe.ucsc.edu> wrote:
> I think one of the aspects where Galaxy is a bit soft is the ability to do
> distributed tasks. The current system of split/replicate/merge tasks based
> on file type is a bit limited and hard for tool developers to expand upon.
> Distributed computing is a non-trival thing to implement and I think it
> would be a better use of our time to use an already existing framework. And
> it would also mean one less API for tool writers to have to develop for.
> I was wondering if anybody has looked at Mesos ( http://mesos.apache.org/).
> You can see an overview of the Mesos architecture at
> The important thing about Mesos is that it provides an API for C/C++,
> Java/Scala and Python to write distributed frameworks. There are already
> implementations of frameworks for common parallel programming systems such
> - Hadoop (https://github.com/mesos/hadoop)
> - MPI (
> - Spark (http://spark-project.org)
> And you can find example Python framework at
> Integration with Galaxy would have three parts:
> 1) Add a system config variable to Galaxy called 'MESOS_URL' that is then
> passed to tool wrappers and allows them to contact the local mesos
> infrastructure (assuming the system has been configured) or pass a null if
> the system isn't available.
> 2) Write a tool runner that works as a mesos framework to executes single
> cpu jobs on the distributed system.
> 3) For instances where mesos is not available at a system wide level (say
> they only have access to an SGE based cluster), but the user wants to run
> distributed jobs, write a wrapper that can create a mesos cluster using the
> existing queueing system. For example, right now I run a Mesos system under
> the SGE queue system.
> I'm curious to see what other people think.
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> Ravi K Madduri
> MCS, Argonne National Laboratory
> Computation Institute, University of Chicago
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