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• 资源调度框架
  （Yet Another Resource Negotiator）
• 通用的资源管理系统
• 为上层应用提供统一的资源管理和调度

The fundamental idea of YARN is to split up the functionalities of resource management and job scheduling/monitoring into separate daemons. The idea is to have a global ResourceManager (RM) and per-application ApplicationMaster (AM). An application is either a single job or a DAG of jobs.

YARN的基本思想是将资源管理和作业调度/监视的功能分解为单独的守护进程。我们的想法是拥有一个全局ResourceManager（RM）和每个应用程序ApplicationMaster（AM）。应用程序可以是单个作业，也可以是作业的DAG。

ResourceManager（RM）：全局资源管理

ApplicationMaster（AM）：应用程序 如果开启spark，就会有spark AM DAG：相互依赖

The ResourceManager and the NodeManager form the data-computation framework. The ResourceManager is the ultimate authority that arbitrates resources among all the applications in the system. The NodeManager is the per-machine framework agent who is responsible for containers, monitoring their resource usage (cpu, memory, disk, network) and reporting the same to the ResourceManager/Scheduler.

ResourceManager和NodeManager构成了数据计算框架。ResourceManager是在系统中的所有应用程序之间仲裁资源的最终权限NodeManager是每台机器框架代理，负责容器，监视其资源使用情况（CPU，内存，磁盘，网络）并将其报告给ResourceManager / Scheduler。

slave：NodeManager（NM）：数据计算框架

The per-application ApplicationMaster is, in effect, a framework specific library and is tasked with negotiating resources from the ResourceManager and working with the NodeManager(s) to execute and monitor the tasks.

每个应用程序ApplicationMaster实际上是一个特定于框架的库，其任务是协调来自ResourceManager的资源，并与NodeManager一起执行和监视任务。

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