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Use sqrt(n) chunk size in pod affinity and core scheduler

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This commit is contained in:
Aldo Culquicondor
2020-03-16 14:12:11 -04:00
parent 36efa035e2
commit e902e70d0d
15 changed files with 103 additions and 41 deletions
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8
pkg/scheduler/framework/v1alpha1/framework.go
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@@ -28,10 +28,10 @@ import (
"k8s.io/apimachinery/pkg/util/sets"
"k8s.io/client-go/informers"
clientset "k8s.io/client-go/kubernetes"
"k8s.io/client-go/util/workqueue"
"k8s.io/klog"
"k8s.io/kubernetes/pkg/controller/volume/scheduling"
"k8s.io/kubernetes/pkg/scheduler/apis/config"
"k8s.io/kubernetes/pkg/scheduler/internal/parallelize"
schedulerlisters "k8s.io/kubernetes/pkg/scheduler/listers"
"k8s.io/kubernetes/pkg/scheduler/metrics"
schedulernodeinfo "k8s.io/kubernetes/pkg/scheduler/nodeinfo"
@@ -513,7 +513,7 @@ func (f *framework) RunScorePlugins(ctx context.Context, state *CycleState, pod
errCh := schedutil.NewErrorChannel()
// Run Score method for each node in parallel.
workqueue.ParallelizeUntil(ctx, 16, len(nodes), func(index int) {
parallelize.Until(ctx, len(nodes), func(index int) {
for _, pl := range f.scorePlugins {
nodeName := nodes[index].Name
s, status := f.runScorePlugin(ctx, pl, state, pod, nodeName)
@@ -534,7 +534,7 @@ func (f *framework) RunScorePlugins(ctx context.Context, state *CycleState, pod
}
// Run NormalizeScore method for each ScorePlugin in parallel.
workqueue.ParallelizeUntil(ctx, 16, len(f.scorePlugins), func(index int) {
parallelize.Until(ctx, len(f.scorePlugins), func(index int) {
pl := f.scorePlugins[index]
nodeScoreList := pluginToNodeScores[pl.Name()]
if pl.ScoreExtensions() == nil {
@@ -554,7 +554,7 @@ func (f *framework) RunScorePlugins(ctx context.Context, state *CycleState, pod
}
// Apply score defaultWeights for each ScorePlugin in parallel.
workqueue.ParallelizeUntil(ctx, 16, len(f.scorePlugins), func(index int) {
parallelize.Until(ctx, len(f.scorePlugins), func(index int) {
pl := f.scorePlugins[index]
// Score plugins' weight has been checked when they are initialized.
weight := f.pluginNameToWeightMap[pl.Name()]