[jira] [Created] (MESOS-10128) Performance regression in HierarchicalAllocations_BENCHMARK_Test.PersistentVolumes

2020-05-13 Thread Andrei Sekretenko (Jira)
Andrei Sekretenko created MESOS-10128:
-

 Summary: Performance regression in 
HierarchicalAllocations_BENCHMARK_Test.PersistentVolumes 
 Key: MESOS-10128
 URL: https://issues.apache.org/jira/browse/MESOS-10128
 Project: Mesos
  Issue Type: Bug
Reporter: Andrei Sekretenko
Assignee: Andrei Sekretenko


Compared to 1.9.0, HierarchicalAllocations_BENCHMARK_Test.PersistentVolumes ran 
on 1.10.x branch/current master shows a regression (up to 50 times in some 
cases) and exhibits a quadratic dependence of allocation time versus the number 
of agents in the few-framework cases.

This regression was introduced by 
https://reviews.apache.org/r/71460 
which employed a single `Resources` object to track offered/allocated resources 
of all agents on the cluster
and exacerbated by https://reviews.apache.org/r/71488 that followed a similar 
approach.

In the case when resources of agents are non-addable (for example, each agent 
has an unique persistent volume), this results in O(N^2) asymptotic time 
complexity versus the number of agents due to the addition/subtraction of 
Resources being O(X*Y) where X and Y are number of individual `Resource`s on 
the left and on the right side.

Moreover, the approach taken in those PRs violates the convention that 
`Resources` belonging to different agents should not be added/subtracted.



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[jira] [Commented] (MESOS-7884) Support containerd on Mesos.

2020-05-13 Thread xiaowei (Jira)


[ 
https://issues.apache.org/jira/browse/MESOS-7884?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17106157#comment-17106157
 ] 

xiaowei commented on MESOS-7884:


Is there any plan for this?

> Support containerd on Mesos.
> 
>
> Key: MESOS-7884
> URL: https://issues.apache.org/jira/browse/MESOS-7884
> Project: Mesos
>  Issue Type: Epic
>  Components: containerization
>Reporter: Gilbert Song
>Priority: Major
>  Labels: containerd, containerizer
>
> containerd v1.0 is very close (v1.0.0 alpha 4 now) to the formal release. We 
> should consider support containerd on Mesos, either by refactoring the docker 
> containerizer or introduce a new containerd containerizer. Design and 
> suggestions are definitely welcome.
> https://github.com/containerd/containerd



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