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Posted to yarn-issues@hadoop.apache.org by "Weiwei Yang (JIRA)" <ji...@apache.org> on 2018/05/24 12:36:00 UTC
[jira] [Updated] (YARN-8320) [Umbrella] Support CPU isolation for
latency-sensitive (LS) service
[ https://issues.apache.org/jira/browse/YARN-8320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Weiwei Yang updated YARN-8320:
------------------------------
Summary: [Umbrella] Support CPU isolation for latency-sensitive (LS) service (was: Support CPU isolation for latency-sensitive (LS) service)
> [Umbrella] Support CPU isolation for latency-sensitive (LS) service
> -------------------------------------------------------------------
>
> Key: YARN-8320
> URL: https://issues.apache.org/jira/browse/YARN-8320
> Project: Hadoop YARN
> Issue Type: New Feature
> Components: nodemanager
> Reporter: Jiandan Yang
> Priority: Major
> Attachments: CPU-isolation-for-latency-sensitive-services-v1.pdf, CPU-isolation-for-latency-sensitive-services-v2.pdf, YARN-8320.001.patch
>
>
> Currently NodeManager uses “cpu.cfs_period_us”, “cpu.cfs_quota_us” and “cpu.shares” to isolate cpu resource. However,
> * Linux Completely Fair Scheduling (CFS) is a throughput-oriented scheduler; no support for differentiated latency
> * Request latency of services running on container may be frequent shake when all containers share cpus, and latency-sensitive services can not afford in our production environment.
> So we need more fine-grained cpu isolation.
> Here we propose a solution using cgroup cpuset to binds containers to different processors, this is inspired by the isolation technique in [Borg system|http://schd.ws/hosted_files/lcccna2016/a7/CAT%20@%20Scale.pdf].
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