cluster-autoscaler/expander/waste/waste.go (57 lines of code) (raw):

/* Copyright 2016 The Kubernetes Authors. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ package waste import ( apiv1 "k8s.io/api/core/v1" "k8s.io/apimachinery/pkg/api/resource" "k8s.io/autoscaler/cluster-autoscaler/expander" "k8s.io/autoscaler/cluster-autoscaler/simulator/framework" podutils "k8s.io/autoscaler/cluster-autoscaler/utils/pod" klog "k8s.io/klog/v2" ) type leastwaste struct { } // NewFilter returns a filter that selects the best scale up option based on which node group returns the least waste func NewFilter() expander.Filter { return &leastwaste{} } // BestOption Finds the option that wastes the least fraction of CPU and Memory func (l *leastwaste) BestOptions(expansionOptions []expander.Option, nodeInfo map[string]*framework.NodeInfo) []expander.Option { var leastWastedScore float64 var leastWastedOptions []expander.Option for _, option := range expansionOptions { requestedCPU, requestedMemory := resourcesForPods(option.Pods) node, found := nodeInfo[option.NodeGroup.Id()] if !found { klog.Errorf("No node info for: %s", option.NodeGroup.Id()) continue } nodeCPU, nodeMemory := resourcesForNode(node.Node()) availCPU := nodeCPU.MilliValue() * int64(option.NodeCount) availMemory := nodeMemory.Value() * int64(option.NodeCount) wastedCPU := float64(availCPU-requestedCPU.MilliValue()) / float64(availCPU) wastedMemory := float64(availMemory-requestedMemory.Value()) / float64(availMemory) wastedScore := wastedCPU + wastedMemory klog.V(1).Infof("Expanding Node Group %s would waste %0.2f%% CPU, %0.2f%% Memory, %0.2f%% Blended\n", option.NodeGroup.Id(), wastedCPU*100.0, wastedMemory*100.0, wastedScore*50.0) if wastedScore == leastWastedScore { leastWastedOptions = append(leastWastedOptions, option) } if leastWastedOptions == nil || wastedScore < leastWastedScore { leastWastedScore = wastedScore leastWastedOptions = []expander.Option{option} } } if len(leastWastedOptions) == 0 { return nil } return leastWastedOptions } func resourcesForPods(pods []*apiv1.Pod) (cpu resource.Quantity, memory resource.Quantity) { for _, pod := range pods { podRequests := podutils.PodRequests(pod) cpu.Add(podRequests[apiv1.ResourceCPU]) memory.Add(podRequests[apiv1.ResourceMemory]) } return cpu, memory } func resourcesForNode(node *apiv1.Node) (cpu resource.Quantity, memory resource.Quantity) { cpu = node.Status.Capacity[apiv1.ResourceCPU] memory = node.Status.Capacity[apiv1.ResourceMemory] return cpu, memory }