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scheduling performance drop with a large amount of pods existing #2583

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elinx opened this issue Nov 29, 2022 · 0 comments · Fixed by #2580
Closed

scheduling performance drop with a large amount of pods existing #2583

elinx opened this issue Nov 29, 2022 · 0 comments · Fixed by #2580
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kind/bug Categorizes issue or PR as related to a bug.

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@elinx
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elinx commented Nov 29, 2022

What happened:
deploying 3k pods in a cluster with 8k existing pods costs much more time than in an empty cluster, like a 40% performance drop.

What you expected to happen:
same scheduling time or less than a 5% performance drop.

How to reproduce it (as minimally and precisely as possible):

  1. deploy 8k pods in a cluster
  2. deploy another 3k pods
  3. statistics the scheduling time

Anything else we need to know?:

Environment:

  • Volcano Version: 1.6.0
  • Kubernetes version (use kubectl version):
  • Cloud provider or hardware configuration:
  • OS (e.g. from /etc/os-release):
  • Kernel (e.g. uname -a):
  • Install tools:
  • Others:
@elinx elinx added the kind/bug Categorizes issue or PR as related to a bug. label Nov 29, 2022
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