scheduler(NodeResourcesFit & NodeResourcesBalancedAllocation): calculatePodResourceRequest in PreScore phase (#115655)

* scheduler(NodeResourcesFit): calculatePodResourceRequest in PreScore phase

* scheduler(NodeResourcesFit and NodeResourcesBalancedAllocation): calculatePodResourceRequest in PreScore phase

* modify the comments and tests.

* revert the tests.

* don't need consider nodes.

* use list instead of map.

* add comment for podRequests.

* avoid using negative wording in variable names.

cmd/kube-scheduler/app/server_test.go

@@ -402,6 +402,7 @@ leaderElection:
 						{Name: "NodePorts"},
 					}
 					plugins.PreScore.Enabled = []config.Plugin{
+						{Name: "NodeResourcesFit"},
 						{Name: "InterPodAffinity"},
 						{Name: "TaintToleration"},
 					}
@@ -431,6 +432,7 @@ leaderElection:
 						{Name: "NodePorts"},
 					}
 					plugins.PreScore.Enabled = []config.Plugin{
+						{Name: "NodeResourcesFit"},
 						{Name: "InterPodAffinity"},
 						{Name: "TaintToleration"},
 					}

pkg/scheduler/apis/config/testing/defaults/defaults.go

@@ -75,6 +75,8 @@ var PluginsV1beta2 = &config.Plugins{
 			{Name: names.PodTopologySpread},
 			{Name: names.TaintToleration},
 			{Name: names.NodeAffinity},
+			{Name: names.NodeResourcesFit},
+			{Name: names.NodeResourcesBalancedAllocation},
 		},
 	},
 	Score: config.PluginSet{
@@ -238,8 +240,10 @@ var ExpandedPluginsV1beta3 = &config.Plugins{
 		Enabled: []config.Plugin{
 			{Name: names.TaintToleration},
 			{Name: names.NodeAffinity},
+			{Name: names.NodeResourcesFit},
 			{Name: names.PodTopologySpread},
 			{Name: names.InterPodAffinity},
+			{Name: names.NodeResourcesBalancedAllocation},
 		},
 	},
 	Score: config.PluginSet{
@@ -415,8 +419,10 @@ var ExpandedPluginsV1 = &config.Plugins{
 		Enabled: []config.Plugin{
 			{Name: names.TaintToleration},
 			{Name: names.NodeAffinity},
+			{Name: names.NodeResourcesFit},
 			{Name: names.PodTopologySpread},
 			{Name: names.InterPodAffinity},
+			{Name: names.NodeResourcesBalancedAllocation},
 		},
 	},
 	Score: config.PluginSet{

pkg/scheduler/apis/config/v1beta2/default_plugins.go

@@ -76,6 +76,8 @@ func getDefaultPlugins() *v1beta2.Plugins {
 				{Name: names.PodTopologySpread},
 				{Name: names.TaintToleration},
 				{Name: names.NodeAffinity},
+				{Name: names.NodeResourcesFit},
+				{Name: names.NodeResourcesBalancedAllocation},
 			},
 		},
 		Score: v1beta2.PluginSet{

pkg/scheduler/apis/config/v1beta2/default_plugins_test.go

@@ -88,6 +88,8 @@ func TestApplyFeatureGates(t *testing.T) {
 						{Name: names.PodTopologySpread},
 						{Name: names.TaintToleration},
 						{Name: names.NodeAffinity},
+						{Name: names.NodeResourcesFit},
+						{Name: names.NodeResourcesBalancedAllocation},
 					},
 				},
 				Score: v1beta2.PluginSet{
@@ -176,6 +178,8 @@ func TestApplyFeatureGates(t *testing.T) {
 						{Name: names.PodTopologySpread},
 						{Name: names.TaintToleration},
 						{Name: names.NodeAffinity},
+						{Name: names.NodeResourcesFit},
+						{Name: names.NodeResourcesBalancedAllocation},
 					},
 				},
 				Score: v1beta2.PluginSet{

pkg/scheduler/apis/config/v1beta2/defaults_test.go

@@ -378,6 +378,8 @@ func TestSchedulerDefaults(t *testing.T) {
 									{Name: names.PodTopologySpread},
 									{Name: names.TaintToleration},
 									{Name: names.NodeAffinity},
+									{Name: names.NodeResourcesFit},
+									{Name: names.NodeResourcesBalancedAllocation},
 								},
 							},
 							Score: v1beta2.PluginSet{

pkg/scheduler/framework/plugins/noderesources/balanced_allocation.go

@@ -37,10 +37,51 @@ type BalancedAllocation struct {
 	resourceAllocationScorer
 }
 
+var _ framework.PreScorePlugin = &BalancedAllocation{}
 var _ framework.ScorePlugin = &BalancedAllocation{}
 
 // BalancedAllocationName is the name of the plugin used in the plugin registry and configurations.
-const BalancedAllocationName = names.NodeResourcesBalancedAllocation
+const (
+	BalancedAllocationName = names.NodeResourcesBalancedAllocation
+
+	// balancedAllocationPreScoreStateKey is the key in CycleState to NodeResourcesBalancedAllocation pre-computed data for Scoring.
+	balancedAllocationPreScoreStateKey = "PreScore" + BalancedAllocationName
+)
+
+// balancedAllocationPreScoreState computed at PreScore and used at Score.
+type balancedAllocationPreScoreState struct {
+	// podRequests have the same order of the resources defined in NodeResourcesFitArgs.Resources,
+	// same for other place we store a list like that.
+	podRequests []int64
+}
+
+// Clone implements the mandatory Clone interface. We don't really copy the data since
+// there is no need for that.
+func (s *balancedAllocationPreScoreState) Clone() framework.StateData {
+	return s
+}
+
+// PreScore calculates incoming pod's resource requests and writes them to the cycle state used.
+func (ba *BalancedAllocation) PreScore(ctx context.Context, cycleState *framework.CycleState, pod *v1.Pod, nodes []*v1.Node) *framework.Status {
+	state := &balancedAllocationPreScoreState{
+		podRequests: ba.calculatePodResourceRequestList(pod, ba.resources),
+	}
+	cycleState.Write(balancedAllocationPreScoreStateKey, state)
+	return nil
+}
+
+func getBalancedAllocationPreScoreState(cycleState *framework.CycleState) (*balancedAllocationPreScoreState, error) {
+	c, err := cycleState.Read(balancedAllocationPreScoreStateKey)
+	if err != nil {
+		return nil, fmt.Errorf("reading %q from cycleState: %w", balancedAllocationPreScoreStateKey, err)
+	}
+
+	s, ok := c.(*balancedAllocationPreScoreState)
+	if !ok {
+		return nil, fmt.Errorf("invalid PreScore state, got type %T", c)
+	}
+	return s, nil
+}
 
 // Name returns name of the plugin. It is used in logs, etc.
 func (ba *BalancedAllocation) Name() string {
@@ -54,12 +95,17 @@ func (ba *BalancedAllocation) Score(ctx context.Context, state *framework.CycleS
 		return 0, framework.AsStatus(fmt.Errorf("getting node %q from Snapshot: %w", nodeName, err))
 	}
 
+	s, err := getBalancedAllocationPreScoreState(state)
+	if err != nil {
+		s = &balancedAllocationPreScoreState{podRequests: ba.calculatePodResourceRequestList(pod, ba.resources)}
+	}
+
 	// ba.score favors nodes with balanced resource usage rate.
 	// It calculates the standard deviation for those resources and prioritizes the node based on how close the usage of those resources is to each other.
 	// Detail: score = (1 - std) * MaxNodeScore, where std is calculated by the root square of Σ((fraction(i)-mean)^2)/len(resources)
 	// The algorithm is partly inspired by:
 	// "Wei Huang et al. An Energy Efficient Virtual Machine Placement Algorithm with Balanced Resource Utilization"
-	return ba.score(pod, nodeInfo)
+	return ba.score(pod, nodeInfo, s.podRequests)
 }
 
 // ScoreExtensions of the Score plugin.

pkg/scheduler/framework/plugins/noderesources/balanced_allocation_test.go

@@ -123,6 +123,7 @@ func TestNodeResourcesBalancedAllocation(t *testing.T) {
 		expectedList framework.NodeScoreList
 		name         string
 		args         config.NodeResourcesBalancedAllocationArgs
+		runPreScore  bool
 	}{
 		{
 			// Node1 scores (remaining resources) on 0-MaxNodeScore scale
@@ -138,6 +139,7 @@ func TestNodeResourcesBalancedAllocation(t *testing.T) {
 			expectedList: []framework.NodeScore{{Name: "node1", Score: framework.MaxNodeScore}, {Name: "node2", Score: framework.MaxNodeScore}},
 			name:         "nothing scheduled, nothing requested",
 			args:         config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			runPreScore:  true,
 		},
 		{
 			// Node1 scores on 0-MaxNodeScore scale
@@ -155,6 +157,7 @@ func TestNodeResourcesBalancedAllocation(t *testing.T) {
 			expectedList: []framework.NodeScore{{Name: "node1", Score: 87}, {Name: "node2", Score: framework.MaxNodeScore}},
 			name:         "nothing scheduled, resources requested, differently sized nodes",
 			args:         config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			runPreScore:  true,
 		},
 		{
 			// Node1 scores on 0-MaxNodeScore scale
@@ -177,7 +180,8 @@ func TestNodeResourcesBalancedAllocation(t *testing.T) {
 				st.MakePod().Node("node2").Labels(labels1).Obj(),
 				st.MakePod().Node("node2").Labels(labels1).Obj(),
 			},
-			args: config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			args:        config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			runPreScore: true,
 		},
 		{
 			// Node1 scores on 0-MaxNodeScore scale
@@ -198,7 +202,8 @@ func TestNodeResourcesBalancedAllocation(t *testing.T) {
 				st.MakePod().Node("node1").Obj(),
 				st.MakePod().Node("node1").Obj(),
 			},
-			args: config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			args:        config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			runPreScore: true,
 		},
 		{
 			// Node1 scores on 0-MaxNodeScore scale
@@ -221,7 +226,8 @@ func TestNodeResourcesBalancedAllocation(t *testing.T) {
 				{Spec: cpuOnly2, ObjectMeta: metav1.ObjectMeta{Labels: labels1}},
 				{Spec: cpuAndMemory, ObjectMeta: metav1.ObjectMeta{Labels: labels1}},
 			},
-			args: config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			args:        config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			runPreScore: true,
 		},
 		{
 			// Node1 scores on 0-MaxNodeScore scale
@@ -242,7 +248,8 @@ func TestNodeResourcesBalancedAllocation(t *testing.T) {
 				{Spec: cpuOnly},
 				{Spec: cpuAndMemory},
 			},
-			args: config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			args:        config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			runPreScore: true,
 		},
 		{
 			// Node1 scores on 0-MaxNodeScore scale
@@ -263,7 +270,8 @@ func TestNodeResourcesBalancedAllocation(t *testing.T) {
 				{Spec: cpuOnly},
 				{Spec: cpuAndMemory},
 			},
-			args: config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			args:        config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			runPreScore: true,
 		},
 		{
 			// Node1 scores on 0-MaxNodeScore scale
@@ -285,7 +293,8 @@ func TestNodeResourcesBalancedAllocation(t *testing.T) {
 				{Spec: cpuOnly},
 				{Spec: cpuAndMemory},
 			},
-			args: config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			args:        config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			runPreScore: true,
 		},
 		{
 			pod:          st.MakePod().Obj(),
@@ -296,7 +305,8 @@ func TestNodeResourcesBalancedAllocation(t *testing.T) {
 				{Spec: cpuOnly},
 				{Spec: cpuAndMemory},
 			},
-			args: config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			args:        config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			runPreScore: true,
 		},
 		// Node1 scores on 0-MaxNodeScore scale
 		// CPU Fraction: 3000 / 3500 = 85.71%
@@ -327,6 +337,7 @@ func TestNodeResourcesBalancedAllocation(t *testing.T) {
 				{Name: string(v1.ResourceMemory), Weight: 1},
 				{Name: "nvidia.com/gpu", Weight: 1},
 			}},
+			runPreScore: true,
 		},
 		// Only one node (node1) has the scalar resource, pod doesn't request the scalar resource and the scalar resource should be skipped for consideration.
 		// Node1: std = 0, score = 100
@@ -344,6 +355,29 @@ func TestNodeResourcesBalancedAllocation(t *testing.T) {
 				{Name: string(v1.ResourceCPU), Weight: 1},
 				{Name: "nvidia.com/gpu", Weight: 1},
 			}},
+			runPreScore: true,
+		},
+		{
+			// Node1 scores on 0-MaxNodeScore scale
+			// CPU Fraction: 6000 / 10000 = 60%
+			// Memory Fraction: 5000 / 20000 = 25%
+			// Node1 std: (0.6 - 0.25) / 2 = 0.175
+			// Node1 Score: (1 - 0.175)*MaxNodeScore = 82
+			// Node2 scores on 0-MaxNodeScore scale
+			// CPU Fraction: 6000 / 10000 = 60%
+			// Memory Fraction: 10000 / 20000 = 50%
+			// Node2 std: (0.6 - 0.5) / 2 = 0.05
+			// Node2 Score: (1 - 0.05)*MaxNodeScore = 95
+			pod:          &v1.Pod{Spec: cpuAndMemory},
+			nodes:        []*v1.Node{makeNode("node1", 10000, 20000, nil), makeNode("node2", 10000, 20000, nil)},
+			expectedList: []framework.NodeScore{{Name: "node1", Score: 82}, {Name: "node2", Score: 95}},
+			name:         "resources requested, pods scheduled with resources if PreScore not called",
+			pods: []*v1.Pod{
+				{Spec: cpuOnly},
+				{Spec: cpuAndMemory},
+			},
+			args:        config.NodeResourcesBalancedAllocationArgs{Resources: defaultResourceBalancedAllocationSet},
+			runPreScore: false,
 		},
 	}
 
@@ -354,10 +388,17 @@ func TestNodeResourcesBalancedAllocation(t *testing.T) {
 			defer cancel()
 			fh, _ := runtime.NewFramework(nil, nil, ctx.Done(), runtime.WithSnapshotSharedLister(snapshot))
 			p, _ := NewBalancedAllocation(&test.args, fh, feature.Features{})
+			state := framework.NewCycleState()
 			for i := range test.nodes {
-				hostResult, err := p.(framework.ScorePlugin).Score(ctx, nil, test.pod, test.nodes[i].Name)
+				if !test.runPreScore {
-				if err != nil {
+					status := p.(framework.PreScorePlugin).PreScore(ctx, state, test.pod, test.nodes)
-					t.Errorf("unexpected error: %v", err)
+					if !status.IsSuccess() {
+						t.Errorf("PreScore is expected to return success, but didn't. Got status: %v", status)
+					}
+				}
+				hostResult, status := p.(framework.ScorePlugin).Score(ctx, state, test.pod, test.nodes[i].Name)
+				if !status.IsSuccess() {
+					t.Errorf("Score is expected to return success, but didn't. Got status: %v", status)
 				}
 				if !reflect.DeepEqual(test.expectedList[i].Score, hostResult) {
 					t.Errorf("got score %v for host %v, expected %v", hostResult, test.nodes[i].Name, test.expectedList[i].Score)

pkg/scheduler/framework/plugins/noderesources/fit.go

@@ -37,6 +37,7 @@ import (
 var _ framework.PreFilterPlugin = &Fit{}
 var _ framework.FilterPlugin = &Fit{}
 var _ framework.EnqueueExtensions = &Fit{}
+var _ framework.PreScorePlugin = &Fit{}
 var _ framework.ScorePlugin = &Fit{}
 
 const (
@@ -46,6 +47,9 @@ const (
 	// preFilterStateKey is the key in CycleState to NodeResourcesFit pre-computed data.
 	// Using the name of the plugin will likely help us avoid collisions with other plugins.
 	preFilterStateKey = "PreFilter" + Name
+
+	// preScoreStateKey is the key in CycleState to NodeResourcesFit pre-computed data for Scoring.
+	preScoreStateKey = "PreScore" + Name
 )
 
 // nodeResourceStrategyTypeMap maps strategy to scorer implementation
@@ -100,6 +104,41 @@ func (s *preFilterState) Clone() framework.StateData {
 	return s
 }
 
+// preScoreState computed at PreScore and used at Score.
+type preScoreState struct {
+	// podRequests have the same order as the resources defined in NodeResourcesBalancedAllocationArgs.Resources,
+	// same for other place we store a list like that.
+	podRequests []int64
+}
+
+// Clone implements the mandatory Clone interface. We don't really copy the data since
+// there is no need for that.
+func (s *preScoreState) Clone() framework.StateData {
+	return s
+}
+
+// PreScore calculates incoming pod's resource requests and writes them to the cycle state used.
+func (f *Fit) PreScore(ctx context.Context, cycleState *framework.CycleState, pod *v1.Pod, nodes []*v1.Node) *framework.Status {
+	state := &preScoreState{
+		podRequests: f.calculatePodResourceRequestList(pod, f.resources),
+	}
+	cycleState.Write(preScoreStateKey, state)
+	return nil
+}
+
+func getPreScoreState(cycleState *framework.CycleState) (*preScoreState, error) {
+	c, err := cycleState.Read(preScoreStateKey)
+	if err != nil {
+		return nil, fmt.Errorf("reading %q from cycleState: %w", preScoreStateKey, err)
+	}
+
+	s, ok := c.(*preScoreState)
+	if !ok {
+		return nil, fmt.Errorf("invalid PreScore state, got type %T", c)
+	}
+	return s, nil
+}
+
 // Name returns name of the plugin. It is used in logs, etc.
 func (f *Fit) Name() string {
 	return Name
@@ -335,5 +374,12 @@ func (f *Fit) Score(ctx context.Context, state *framework.CycleState, pod *v1.Po
 		return 0, framework.AsStatus(fmt.Errorf("getting node %q from Snapshot: %w", nodeName, err))
 	}
 
-	return f.score(pod, nodeInfo)
+	s, err := getPreScoreState(state)
+	if err != nil {
+		s = &preScoreState{
+			podRequests: f.calculatePodResourceRequestList(pod, f.resources),
+		}
+	}
+
+	return f.score(pod, nodeInfo, s.podRequests)
 }

pkg/scheduler/framework/plugins/noderesources/fit_test.go

@@ -647,6 +647,7 @@ func TestFitScore(t *testing.T) {
 		existingPods         []*v1.Pod
 		expectedPriorities   framework.NodeScoreList
 		nodeResourcesFitArgs config.NodeResourcesFitArgs
+		runPreScore          bool
 	}{
 		{
 			name: "test case for ScoringStrategy RequestedToCapacityRatio case1",
@@ -674,6 +675,7 @@ func TestFitScore(t *testing.T) {
 					},
 				},
 			},
+			runPreScore: true,
 		},
 		{
 			name: "test case for ScoringStrategy RequestedToCapacityRatio case2",
@@ -701,6 +703,7 @@ func TestFitScore(t *testing.T) {
 					},
 				},
 			},
+			runPreScore: true,
 		},
 		{
 			name: "test case for ScoringStrategy MostAllocated",
@@ -722,6 +725,7 @@ func TestFitScore(t *testing.T) {
 					Resources: defaultResources,
 				},
 			},
+			runPreScore: true,
 		},
 		{
 			name: "test case for ScoringStrategy LeastAllocated",
@@ -743,6 +747,79 @@ func TestFitScore(t *testing.T) {
 					Resources: defaultResources,
 				},
 			},
+			runPreScore: true,
+		},
+		{
+			name: "test case for ScoringStrategy RequestedToCapacityRatio case1 if PreScore is not called",
+			requestedPod: st.MakePod().
+				Req(map[v1.ResourceName]string{"cpu": "3000", "memory": "5000"}).
+				Obj(),
+			nodes: []*v1.Node{
+				st.MakeNode().Name("node1").Capacity(map[v1.ResourceName]string{"cpu": "4000", "memory": "10000"}).Obj(),
+				st.MakeNode().Name("node2").Capacity(map[v1.ResourceName]string{"cpu": "6000", "memory": "10000"}).Obj(),
+			},
+			existingPods: []*v1.Pod{
+				st.MakePod().Node("node1").Req(map[v1.ResourceName]string{"cpu": "2000", "memory": "4000"}).Obj(),
+				st.MakePod().Node("node2").Req(map[v1.ResourceName]string{"cpu": "1000", "memory": "2000"}).Obj(),
+			},
+			expectedPriorities: []framework.NodeScore{{Name: "node1", Score: 10}, {Name: "node2", Score: 32}},
+			nodeResourcesFitArgs: config.NodeResourcesFitArgs{
+				ScoringStrategy: &config.ScoringStrategy{
+					Type:      config.RequestedToCapacityRatio,
+					Resources: defaultResources,
+					RequestedToCapacityRatio: &config.RequestedToCapacityRatioParam{
+						Shape: []config.UtilizationShapePoint{
+							{Utilization: 0, Score: 10},
+							{Utilization: 100, Score: 0},
+						},
+					},
+				},
+			},
+			runPreScore: false,
+		},
+		{
+			name: "test case for ScoringStrategy MostAllocated if PreScore is not called",
+			requestedPod: st.MakePod().
+				Req(map[v1.ResourceName]string{"cpu": "1000", "memory": "2000"}).
+				Obj(),
+			nodes: []*v1.Node{
+				st.MakeNode().Name("node1").Capacity(map[v1.ResourceName]string{"cpu": "4000", "memory": "10000"}).Obj(),
+				st.MakeNode().Name("node2").Capacity(map[v1.ResourceName]string{"cpu": "6000", "memory": "10000"}).Obj(),
+			},
+			existingPods: []*v1.Pod{
+				st.MakePod().Node("node1").Req(map[v1.ResourceName]string{"cpu": "2000", "memory": "4000"}).Obj(),
+				st.MakePod().Node("node2").Req(map[v1.ResourceName]string{"cpu": "1000", "memory": "2000"}).Obj(),
+			},
+			expectedPriorities: []framework.NodeScore{{Name: "node1", Score: 67}, {Name: "node2", Score: 36}},
+			nodeResourcesFitArgs: config.NodeResourcesFitArgs{
+				ScoringStrategy: &config.ScoringStrategy{
+					Type:      config.MostAllocated,
+					Resources: defaultResources,
+				},
+			},
+			runPreScore: false,
+		},
+		{
+			name: "test case for ScoringStrategy LeastAllocated if PreScore is not called",
+			requestedPod: st.MakePod().
+				Req(map[v1.ResourceName]string{"cpu": "1000", "memory": "2000"}).
+				Obj(),
+			nodes: []*v1.Node{
+				st.MakeNode().Name("node1").Capacity(map[v1.ResourceName]string{"cpu": "4000", "memory": "10000"}).Obj(),
+				st.MakeNode().Name("node2").Capacity(map[v1.ResourceName]string{"cpu": "6000", "memory": "10000"}).Obj(),
+			},
+			existingPods: []*v1.Pod{
+				st.MakePod().Node("node1").Req(map[v1.ResourceName]string{"cpu": "2000", "memory": "4000"}).Obj(),
+				st.MakePod().Node("node2").Req(map[v1.ResourceName]string{"cpu": "1000", "memory": "2000"}).Obj(),
+			},
+			expectedPriorities: []framework.NodeScore{{Name: "node1", Score: 32}, {Name: "node2", Score: 63}},
+			nodeResourcesFitArgs: config.NodeResourcesFitArgs{
+				ScoringStrategy: &config.ScoringStrategy{
+					Type:      config.LeastAllocated,
+					Resources: defaultResources,
+				},
+			},
+			runPreScore: false,
 		},
 	}
 
@@ -762,9 +839,15 @@ func TestFitScore(t *testing.T) {
 
 			var gotPriorities framework.NodeScoreList
 			for _, n := range test.nodes {
+				if !test.runPreScore {
+					status := p.(framework.PreScorePlugin).PreScore(ctx, state, test.requestedPod, test.nodes)
+					if !status.IsSuccess() {
+						t.Errorf("PreScore is expected to return success, but didn't. Got status: %v", status)
+					}
+				}
 				score, status := p.(framework.ScorePlugin).Score(ctx, state, test.requestedPod, n.Name)
 				if !status.IsSuccess() {
-					t.Errorf("unexpected error: %v", status)
+					t.Errorf("Score is expected to return success, but didn't. Got status: %v", status)
 				}
 				gotPriorities = append(gotPriorities, framework.NodeScore{Name: n.Name, Score: score})
 			}
@@ -879,6 +962,7 @@ func BenchmarkTestFitScore(b *testing.B) {
 
 			requestedPod := st.MakePod().Req(map[v1.ResourceName]string{"cpu": "1000", "memory": "2000"}).Obj()
 			for i := 0; i < b.N; i++ {
+
 				_, status := p.Score(context.Background(), state, requestedPod, nodes[0].Name)
 				if !status.IsSuccess() {
 					b.Errorf("unexpected status: %v", status)

pkg/scheduler/framework/plugins/noderesources/least_allocated_test.go

@@ -407,11 +407,16 @@ func TestLeastAllocatedScoringStrategy(t *testing.T) {
 				return
 			}
 
+			status := p.(framework.PreScorePlugin).PreScore(ctx, state, test.requestedPod, test.nodes)
+			if !status.IsSuccess() {
+				t.Errorf("PreScore is expected to return success, but didn't. Got status: %v", status)
+			}
+
 			var gotScores framework.NodeScoreList
 			for _, n := range test.nodes {
 				score, status := p.(framework.ScorePlugin).Score(ctx, state, test.requestedPod, n.Name)
 				if status.Code() != test.wantStatusCode {
-					t.Errorf("unexpected status code, want: %v, got: %v", test.wantStatusCode, status)
+					t.Errorf("unexpected status code, want: %v, got: %v", test.wantStatusCode, status.Code())
 				}
 				gotScores = append(gotScores, framework.NodeScore{Name: n.Name, Score: score})
 			}

pkg/scheduler/framework/plugins/noderesources/most_allocated_test.go

@@ -364,6 +364,11 @@ func TestMostAllocatedScoringStrategy(t *testing.T) {
 				return
 			}
 
+			status := p.(framework.PreScorePlugin).PreScore(ctx, state, test.requestedPod, test.nodes)
+			if !status.IsSuccess() {
+				t.Errorf("PreScore is expected to return success, but didn't. Got status: %v", status)
+			}
+
 			var gotScores framework.NodeScoreList
 			for _, n := range test.nodes {
 				score, status := p.(framework.ScorePlugin).Score(ctx, state, test.requestedPod, n.Name)

pkg/scheduler/framework/plugins/noderesources/requested_to_capacity_ratio_test.go

@@ -129,9 +129,13 @@ func TestRequestedToCapacityRatioScoringStrategy(t *testing.T) {
 
 			var gotScores framework.NodeScoreList
 			for _, n := range test.nodes {
+				status := p.(framework.PreScorePlugin).PreScore(ctx, state, test.requestedPod, test.nodes)
+				if !status.IsSuccess() {
+					t.Errorf("PreScore is expected to return success, but didn't. Got status: %v", status)
+				}
 				score, status := p.(framework.ScorePlugin).Score(ctx, state, test.requestedPod, n.Name)
 				if !status.IsSuccess() {
-					t.Errorf("unexpected error: %v", status)
+					t.Errorf("Score is expected to return success, but didn't. Got status: %v", status)
 				}
 				gotScores = append(gotScores, framework.NodeScore{Name: n.Name, Score: score})
 			}
@@ -321,9 +325,13 @@ func TestResourceBinPackingSingleExtended(t *testing.T) {
 
 			var gotList framework.NodeScoreList
 			for _, n := range test.nodes {
+				status := p.(framework.PreScorePlugin).PreScore(context.Background(), state, test.pod, test.nodes)
+				if !status.IsSuccess() {
+					t.Errorf("PreScore is expected to return success, but didn't. Got status: %v", status)
+				}
 				score, status := p.(framework.ScorePlugin).Score(context.Background(), state, test.pod, n.Name)
 				if !status.IsSuccess() {
-					t.Errorf("unexpected error: %v", status)
+					t.Errorf("Score is expected to return success, but didn't. Got status: %v", status)
 				}
 				gotList = append(gotList, framework.NodeScore{Name: n.Name, Score: score})
 			}
@@ -542,11 +550,16 @@ func TestResourceBinPackingMultipleExtended(t *testing.T) {
 				t.Fatalf("unexpected error: %v", err)
 			}
 
+			status := p.(framework.PreScorePlugin).PreScore(context.Background(), state, test.pod, test.nodes)
+			if !status.IsSuccess() {
+				t.Errorf("PreScore is expected to return success, but didn't. Got status: %v", status)
+			}
+
 			var gotScores framework.NodeScoreList
 			for _, n := range test.nodes {
 				score, status := p.(framework.ScorePlugin).Score(context.Background(), state, test.pod, n.Name)
 				if !status.IsSuccess() {
-					t.Errorf("unexpected error: %v", status)
+					t.Errorf("Score is expected to return success, but didn't. Got status: %v", status)
 				}
 				gotScores = append(gotScores, framework.NodeScore{Name: n.Name, Score: score})
 			}

pkg/scheduler/framework/plugins/noderesources/resource_allocation.go

@@ -45,7 +45,8 @@ type resourceAllocationScorer struct {
 // score will use `scorer` function to calculate the score.
 func (r *resourceAllocationScorer) score(
 	pod *v1.Pod,
-	nodeInfo *framework.NodeInfo) (int64, *framework.Status) {
+	nodeInfo *framework.NodeInfo,
+	podRequests []int64) (int64, *framework.Status) {
 	node := nodeInfo.Node()
 	if node == nil {
 		return 0, framework.NewStatus(framework.Error, "node not found")
@@ -58,7 +59,7 @@ func (r *resourceAllocationScorer) score(
 	requested := make([]int64, len(r.resources))
 	allocatable := make([]int64, len(r.resources))
 	for i := range r.resources {
-		alloc, req := r.calculateResourceAllocatableRequest(nodeInfo, pod, v1.ResourceName(r.resources[i].Name))
+		alloc, req := r.calculateResourceAllocatableRequest(nodeInfo, v1.ResourceName(r.resources[i].Name), podRequests[i])
 		// Only fill the extended resource entry when it's non-zero.
 		if alloc == 0 {
 			continue
@@ -83,13 +84,12 @@ func (r *resourceAllocationScorer) score(
 // - 1st param: quantity of allocatable resource on the node.
 // - 2nd param: aggregated quantity of requested resource on the node.
 // Note: if it's an extended resource, and the pod doesn't request it, (0, 0) is returned.
-func (r *resourceAllocationScorer) calculateResourceAllocatableRequest(nodeInfo *framework.NodeInfo, pod *v1.Pod, resource v1.ResourceName) (int64, int64) {
+func (r *resourceAllocationScorer) calculateResourceAllocatableRequest(nodeInfo *framework.NodeInfo, resource v1.ResourceName, podRequest int64) (int64, int64) {
 	requested := nodeInfo.NonZeroRequested
 	if r.useRequested {
 		requested = nodeInfo.Requested
 	}
 
-	podRequest := r.calculatePodResourceRequest(pod, resource)
 	// If it's an extended resource, and the pod doesn't request it. We return (0, 0)
 	// as an implication to bypass scoring on this resource.
 	if podRequest == 0 && schedutil.IsScalarResourceName(resource) {
@@ -133,3 +133,11 @@ func (r *resourceAllocationScorer) calculatePodResourceRequest(pod *v1.Pod, reso
 	}
 	return quantity.Value()
 }
+
+func (r *resourceAllocationScorer) calculatePodResourceRequestList(pod *v1.Pod, resources []config.ResourceSpec) []int64 {
+	podRequests := make([]int64, len(resources))
+	for i := range resources {
+		podRequests[i] = r.calculatePodResourceRequest(pod, v1.ResourceName(resources[i].Name))
+	}
+	return podRequests
+}