[jira] [Created] (MESOS-5377) Improve DRF behavior with scarce resources.

["Benjamin Mahler (JIRA)" <ji...@apache.org>]

Benjamin Mahler created MESOS-5377:
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             Summary: Improve DRF behavior with scarce resources.
                 Key: MESOS-5377
                 URL: https://issues.apache.org/jira/browse/MESOS-5377
             Project: Mesos
          Issue Type: Epic
          Components: allocation
            Reporter: Benjamin Mahler


The allocator currently uses the notion of Weighted [Dominant Resource Fairness|https://www.cs.berkeley.edu/~alig/papers/drf.pdf] (WDRF) to establish a linear notion of fairness across allocation roles.

DRF behaves well for resources that are present within each machine in a cluster (e.g. CPUs, memory, disk). However, some resources (e.g. GPUs) are only present on a subset of machines in the cluster.

Consider the behavior when there are the following agents in a cluster:

1000 agents with (cpus:4,mem:1024,disk:1024)
1 agent with (gpus:1,cpus:4,mem:1024,disk:1024)

If a role wishes to use both GPU and non-GPU resources for tasks, consuming 1 GPU will lead DRF to consider the role to have a 100% share of the cluster, since it consumes 100% of the GPUs in the cluster. This framework will then not receive any other offers.

Among possible improvements, fairness can have understanding of resource packages. In a sense there is 1 GPU package that is competed on and 1000 non-GPU packages competed on, and consuming the GPU package does not have a large effect on the role's access to the 1000 non-GPU packages.

In the interim, we should consider having a recommended way to deal with scarce resources in the current model.



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