Introduce a combined metric for CPU and memory #671
Conversation
openshift-ci
bot
added
the
do-not-merge/work-in-progress
tiraboschi
force-pushed
the
memory_metrics
branch
2 times, most recently
from
10f9abc to
47ea31d
Compare
tiraboschi
force-pushed
the
memory_metrics
branch
3 times, most recently
from
ba29917 to
a7dd4ad
Compare
Introduce a novel metric combining: - CPU utilization - CPU PSI pressure - Memory utilization - Memory PSI pressure The different dimensions are combined computing the multidimensional euclidean distance from the ideal point. Only the positive contributions are taken into account to avoid penalizing underutilized nodes. A linear multiplier is applied to make it consistent with existing thresholds. The proposed works well because: - It naturally combines multiple dimensions into one metric. - It ignores “being under the average” (no penalty for low usage). Signed-off-by: Simone Tiraboschi <[email protected]>
tiraboschi
force-pushed
the
memory_metrics
branch
from
a7dd4ad to
ccf0c16
Compare
|
@tiraboschi: all tests passed! Full PR test history. Your PR dashboard. Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes-sigs/prow repository. I understand the commands that are listed here. |
tiraboschi
changed the title
openshift-ci
bot
removed
the
do-not-merge/work-in-progress
|
/approve |
|
/verified by tiraboschi |
openshift-ci-robot
added
the
verified
|
@ingvagabund: This PR has been marked as verified by In response to this:
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the openshift-eng/jira-lifecycle-plugin repository. |
|
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: ingvagabund, tiraboschi The full list of commands accepted by this bot can be found here. The pull request process is described here
Needs approval from an approver in each of these files:
Approvers can indicate their approval by writing |
openshift-ci
bot
added
the
approved
3 participants
Introduce a novel metric combining:
The different dimensions are combined computing
the multidimensional euclidean distance from the ideal point.
Only the positive contributions are taken into account
to avoid penalizing underutilized nodes.
A linear multiplier is applied to
make it consistent with existing thresholds.
The proposed works well because: