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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