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From "Miller, Mark" <>
Subject RE: mesos and moving jobs between clusters
Date Wed, 26 Oct 2016 15:11:32 GMT
Hi Folks,

Thanks for your kind answers.
We are very specifically interested in how Mesos might allow us to submit to multiple machines
without changing the “rules” we impose that are machine dependent.
For example, Gordon has 16 cores per node and no gpu
Comet has 24 cores per node, and 4 gpu nodes.
So we adjust our running rules depending on the resource.

I can imagine one solution would be to find the least common denominator, and run all jobs
On virtual clusters with 16 cores maximum, and no gpus.
Or we might only submit jobs that can use gpus to resources that have them.

Anyway, since we will all be in SD soon, it seems like we should chat a bit about this in
Maybe we can find a coffee break time, or set up a meeting during the meeting?


From: Pankaj Saha []
Sent: Tuesday, October 25, 2016 3:10 PM
To: dev <>
Subject: Re: mesos and moving jobs between clusters

Hi Mark,

Mesos collects the resource information from all the nodes in the cluster (cores, memory,
disk, and gpu) and presents a unified view, as if it is a single operating system. The Mesosphere,
who a commercial entity for Mesos, has built an ecosystem around Mesos as the kernel called
the "Data Center Operating System (DCOS)".  Frameworks interact  with Mesos to reserve resources
and then use these resources to run jobs on the cluster. So, for example, if multiple frameworks
such as Marathon, Apache Aurora, and a custom-MPI-framework are using Mesos, then there is
a negotiation between Mesos and each framework on how many resources each framework gets.
Once the framework, say Aurora, gets resources, it can decide how to use those resources.
Some of the strengths of Mesos include fault tolerance at scale and the ability to co-schedule
applications/frameworks on the cluster such that cluster utilization is high.

Mesos off-the-shelf only works when the Mater and agent nodes have a line of communication
to each other. We have worked on modifying the Mesos installation so that it even works when
agents are behind firewalls on campus clusters. We are also working on getting the same setup
to work on Jetstream and Chameleon where allocations are a mix of public IPs and internally
accessible nodes. This will allow us to use Mesos to meta-schedule across clusters. We are
also developing our own framework, to be able to customize scheduling and resource negotiations
for science gateways on Mesos clusters. Our plan is to work with Suresh and Marlon's team
so that it works with Airavata.

I will be presenting at the Gateways workshop in November, and then I will also be at SC along
with my adviser (Madhu Govindaraju), if you would like to discuss any of these projects.

We are working on packaging our work so that it can be shared with this community.



On Tue, Oct 25, 2016 at 11:36 AM, Mangirish Wagle <<>>
Hi Mark,

Thanks for your question. So if I understand you correctly, you need kind of load balancing
between identical clusters through a single Mesos master?

With the current setup, from what I understand, we have a separate mesos masters for every
cluster on separate clouds. However, its a good investigative topic if we can have single
mesos master targeting multiple identical clusters. We have some work ongoing to use a virtual
cluster setup with compute resources across clouds to install mesos, but not sure if that
is what you are looking for.



On Tue, Oct 25, 2016 at 11:05 AM, Miller, Mark <<>>
Hi all,

I posed a question to Suresh (see below), and he asked me to put this question on the dev
So here it is. I will be grateful for any comments about the issues you all are facing, and
what has come up in trying this, as
It seems likely that this is a much simpler problem in concept than it is in practice, but
its solution has many benefits.

Here is my question:
A group of us have been discussing how we might simplify submitting jobs to different compute
resources in our current implementation of CIPRES, and how cloud computing might facilitate
this. But none of us are cloud experts. As I understand it, the mesos cluster that I have
been seeing in the Airavata email threads is intended to make it possible to deploy jobs to
multiple virtual clusters. I am (we are) wondering if Mesos manages submissions to identical
virtual clusters on multiple machines, and if that works efficiently.

In our implementation, we have to change the rules to run efficiently on different machines,
according to gpu availability, and cores per node. I am wondering how Mesos/ virtual clusters
affect those considerations.
Can mesos create basically identical virtual clusters independent of machine?

Thanks for any advice.


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