kube-scheduler调度器的不足

kube-scheduler在为Pod绑定节点时，节点资源剩余越多打分越高，但是这样会导致各个节点资源碎片化比较严重

实现效果

binpack插件为volcano调度器的多个调度插件之一，与其他插件共同为节点打分；binpack调度插件的目标是尽量把已有的节点填满（即尽量不往空白节点分配）。具体实现上，Binpack调度算法为满足调度条件的节点打分，节点的资源利用率越高得分越高

实现步骤

1. 进入CCE控制台-集群管理-插件管理-volcano-安装
   

2. 在参数配置中添加如下配置

   { 
       "arguments": { 
           "binpack.cpu": 5, 
           "binpack.memory": 1, 
           "binpack.resources.nvidia.com/gpu": 2, 
           "binpack.weight": 10 
        }, 
        "name": "binpack" 
   }
   

   binpack.weight：binpack插件在volcano所有插件中所占权重
   binpack.memory：内存在binpack调度算法中所占权重
   binpack.cpu：CPU在binpack调度算法中所占权重
   binpack.resources.nvidia.com/gpu：GPU在binpack调度算法中所占权重
   

3. 创建工作负载test，调度器设置为volcano

   kind: Deployment 
   apiVersion: apps/v1 
   metadata: 
     name: test 
     namespace: default 
   spec: 
     replicas: 1 
     selector: 
       matchLabels: 
         app: test 
     template: 
       metadata: 
         labels: 
           app: test 
       spec: 
         containers: 
         - name: container-1 
           image: nginx:stable-alpine-perl 
           resources: 
             limits: 
               cpu: 300m 
               memory: 300Mi 
             requests: 
               cpu: 300m 
               memory: 300Mi 
           terminationMessagePath: /dev/termination-log 
           terminationMessagePolicy: File 
           imagePullPolicy: IfNotPresent 
       restartPolicy: Always 
       terminationGracePeriodSeconds: 30 
       dnsPolicy: ClusterFirst 
       imagePullSecrets: 
       - name: default-secret 
       schedulerName: volcano 
       strategy: 
         type: RollingUpdate 
         rollingUpdate: 
           maxUnavailable: 25% 
           maxSurge: 25% 
       revisionHistoryLimit: 10 
       progressDeadlineSeconds: 600
   

   

4. 查看对应节点信息
   

5. 验证结果。扩容工作负载副本数为4，所有pod优先调度至同一节点
   
   节点信息
   

6. 再次扩容副本数至5，此时192.168.200.97无法满足调度