Comments (11)
sig/k8s-infra
from kubernetes.
/sig node
from kubernetes.
would the cpumanager policy option distribute-cpus-across-numa
help here? https://kubernetes.io/docs/tasks/administer-cluster/cpu-management-policies/#static-policy-options
from kubernetes.
@ffromani thanks a lot. my understanding is distribute-cpus-accors-numa is used to affinity cpu to different numa for one pod/container. for example: if one pod/container needs 16 cpus, w/o distribute-cpus-accross-numa, 16cpus will firstly be affinity in numa0 and numa1, then it maybe 14cpus in numa0 if there is enough cpus in numa0 and 2 cpus in numa1. w/ distribute-cpus-accorss-numa, 8 cpus are affinity in numa0 although there is enough cpus availabe in numa0 but another 8 cpus are affinity into numa1. then cpus in pod/conainer are distributed in numa0 and numa1.
but this issue described in this ticket is; if there are 8 pods. those 8 pods will be affinity into numa0 firstly if there is enough cpu available in nuam1. then then numa1, that will result in different cpu load in different numa nodes and then different cpu frequency when turboboost enabled.
from kubernetes.
but this issue described in this ticket is; if there are 8 pods. those 8 pods will be affinity into numa0 firstly if there is enough cpu available in nuam1. then then numa1, that will result in different cpu load in different numa nodes and then different cpu frequency when turboboost enabled.
right, so the ask is about distributing the pods (containers) across NUMA nodes more evenly it seems. This is indeed not yet covered by options or combinations thereof.
from kubernetes.
/triage accepted
from kubernetes.
right, so the ask is about distributing the pods (containers) across NUMA nodes more evenly it seems. This is indeed not yet covered by options or combinations thereof.
yes @ffromani . frankly cpuManagePolicyOption/distribute-cpus-accors-numa is conflict with topoloygManagerPolicy/single-numa-node. but single-numa-node can provide more high performance.
w/o evenly distribute pod/container into different numa, cpu frequency will be different when turboboost enabled and then result in different cpu usage although incoming traffic is same.
I think evenly distribute pod/container into different numa can overall increase performance.
So will you create a feature to support it?
Thanks a lot
from kubernetes.
So will you create a feature to support it?
Unfortunately I don't have capacity atm. But I agree this is a gap (triage accepted)
Addressing this gap will require an enancement proposal, design etc. etc. It's 1.32 material in the best case IMO.
from kubernetes.
So will you create a feature to support it?
Unfortunately I don't have capacity atm. But I agree this is a gap (triage accepted) Addressing this gap will require an enancement proposal, design etc. etc. It's 1.32 material in the best case IMO.
Thanks a lot @ffromani. we agreed it is gap and triage accepted then there will be followup by someone since you have no capacity atm. correct?
from kubernetes.
Thanks a lot @ffromani. we agreed it is gap and triage accepted then there will be followup by someone since you have no capacity atm. correct?
Not automatically. Someone has to volunteer pick this work up. If you wish to push forward, by all means do it!
from kubernetes.
/cc
from kubernetes.
Related Issues (20)
- ValidatingAdmissionPolicy could not find ConfigMap HOT 10
- [Flaking Test] ci-node-e2e (container lifecycle - liveness probes) HOT 4
- [Flaking Test] Integration-master flakes on test/integration/apiserver/admissionwebhook.admissionwebhook HOT 4
- Logs endpoint does not seem to support compression (Accept-Encoding: gzip) HOT 6
- Add more info into webhook to differentiate if a request is originating from custom controller or from other clients like kubectl in webhook stage to have different behaivor HOT 2
- flaky test: TestCustomResourceDefaultingWithoutWatchCache HOT 8
- kube-scheduler split-brain occurs after the time is changed HOT 8
- pods with PVs stuck Pending even though PVCs bound to PVs correctly HOT 6
- Unable to set enforceNodeAllocatable for system-reserved on cgroup v1 systems HOT 5
- Expose GPU specific requests and limits via Downward API HOT 13
- unexpected grpc error (use of closed network connection) during apiserver lifecycle HOT 3
- CEL: CallCost the function args mix receiver with argument in way that is prone to misuse HOT 2
- ValidatingAdmissionPolicy could not find ConfigMap HOT 2
- Allow authorization webhooks to request SARs in proto format HOT 3
- container finished log does not include pod name - this makes it difficult to identify out of memory kills HOT 6
- Invalid kube-reserved configuration in kubelet causes frequent node status patch updates ignoring node-status-report-frequency HOT 3
- [Flaking Test] gce-ubuntu-master-containerd (DisruptionController related) HOT 2
- pull-kubernetes-typecheck doesn't notice compile errors in staging test files HOT 3
- NodePort service with endpoints has "has no local endpoints" in iptables HOT 8
- Graduate RotateKubeletServerCertificate HOT 7
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from kubernetes.