1.10.8. 扩展资源的资源装箱

可以给扩展资源配置分数，辅助调度系统为节点评分，提高打醒集群中稀缺资源的资源利用率

apiVersion: kubescheduler.config.k8s.io/v1beta1
kind: KubeSchedulerConfiguration
profiles:
# ...
  pluginConfig:
  - name: RequestedToCapacityRatio
    args:
      shape:
      - utilization: 0
        score: 10
      - utilization: 100
        score: 0
      resources:
      - name: intel.com/foo
        weight: 3
      - name: intel.com/bar
        weight: 5

1.10.8.1. RequestedToCapacityRatioResourceAllocation 优先级函数如何对节点评分

请求的资源

intel.com/foo: 2
Memory: 256MB
CPU: 2

资源权重

intel.com/foo: 5
Memory: 1
CPU: 3

FunctionShapePoint {{0, 0}, {100, 10}}

节点 Node 1 配置

可用：
  intel.com/foo : 4
  Memory : 1 GB
  CPU: 8

已用：
  intel.com/foo: 1
  Memory: 256MB
  CPU: 1

节点得分：

intel.com/foo  = resourceScoringFunction((2+1),4)
               = (100 - ((4-3)*100/4)
               = (100 - 25)
               = 75
               = rawScoringFunction(75)
               = 7

Memory         = resourceScoringFunction((256+256),1024)
               = (100 -((1024-512)*100/1024))
               = 50
               = rawScoringFunction(50)
               = 5

CPU            = resourceScoringFunction((2+1),8)
               = (100 -((8-3)*100/8))
               = 37.5
               = rawScoringFunction(37.5)
               = 3

NodeScore   =  (7 * 5) + (5 * 1) + (3 * 3) / (5 + 1 + 3)
            =  5