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content/zh/docs/concepts/scheduling-eviction/kube-scheduler.md

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 title: Kubernetes Scheduler
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 In Kubernetes, _scheduling_ refers to making sure that {{< glossary_tooltip text="Pods" term_id="pod" >}}
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 在 Kubernetes 中，_调度_ 是指将 {{< glossary_tooltip text="Pod" term_id="pod" >}} 放置到合适的
 {{< glossary_tooltip text="Node" term_id="node" >}} 上，然后对应 Node 上的 {{< glossary_tooltip term_id="kubelet" >}} 才能够运行这些 pod。
 
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 ## Scheduling overview {#scheduling}
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 1. [调度策略](/docs/reference/scheduling/policies) 允许你配置过滤的 _谓词(Predicates)_ 和打分的 _优先级(Priorities)_ 。
 2. [调度配置](/docs/reference/scheduling/profiles) 允许你配置实现不同调度阶段的插件，包括：`QueueSort`, `Filter`, `Score`, `Bind`, `Reserve`, `Permit` 等等。你也可以配置 kube-scheduler 运行不同的配置文件。
 
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 * Read about [scheduler performance tuning](/docs/concepts/scheduling-eviction/scheduler-perf-tuning/)
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 * 了解关于 [配置多个调度器](/zh/docs/tasks/administer-cluster/configure-multiple-schedulers/) 的方式
 * 了解关于 [拓扑结构管理策略](/zh/docs/tasks/administer-cluster/topology-manager/)
 * 了解关于 [Pod 额外开销](/zh/docs/concepts/configuration/pod-overhead/)
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content/zh/docs/concepts/scheduling-eviction/scheduler-perf-tuning.md

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 title: 调度器性能调优
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 title: Scheduler Performance Tuning
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 {{< feature-state for_k8s_version="1.14" state="beta" >}}
 
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 这篇文章将会介绍一些在大规模 Kubernetes 集群下调度器性能优化的方式。
 
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 In large clusters, you can tune the scheduler's behaviour balancing
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 在评估完所有 Node 后，将会返回到 Node 1，从头开始。
 
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content/zh/docs/concepts/scheduling-eviction/scheduling-framework.md

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 title: 调度框架
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 title: Scheduling Framework
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 {{< feature-state for_k8s_version="1.15" state="alpha" >}}
 
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 [kep]: https://github.com/kubernetes/enhancements/blob/master/keps/sig-scheduling/20180409-scheduling-framework.md
 
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 # Framework workflow
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 如果你正在使用 Kubernetes v1.18 或更高版本，你可以将一组插件设置为一个调度器配置文件，然后定义不同的配置文件来满足各类工作负载。
 了解更多关于 [多配置文件](/docs/reference/scheduling/profiles/#multiple-profiles)。
 
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