由于冗余是ha集群的关键特性，因而在这个例子中基本的组成部分包括节点管理、分布式文件系统、卷管理和监控。
With redundancy being the key feature of an ha cluster, the components that are essential in this example are node management, a distributed file system, volume management, and monitoring.
两个这样的结合了开发人员从原始分布式文件系统架构中学到的经验的系统就是：Coda和瑞典开放源码志愿者的成果Arla。
Two such systems incorporate lessons developers learned from the original distributed file system architecture: Coda and the Swedish open source volunteer effort, Arla.
其中两个核心组件是用于存储数据的Hadoop Distributed File System (Hadoop分布式文件系统)和用于写入并行处理任务的Hadoop MapReduce。
The two core components are the Hadoop Distributed File System for storing data and Hadoop MapReduce for writing parallel-processing jobs.
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