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Performance of Hadoop distributed file system operations in a non-native operating system

机译:Hadoop分布式文件系统在非本地操作系统中的性能

摘要

Implementations are provided herein for utilizing the two-part nature of HDFS protocol communications received in a non-native HDFS environment to use discriminative information learned in the NameNode request to make the client experience more efficient. NameNode requests can be received by any node among a cluster of nodes. It can be appreciated that in some non-native HDFS, clients can communicate with any nodes among a cluster to perform transactions and need not first communicate with a NameNode. Thus, upon receiving a NameNode request, the non-native HDFS Cluster of Nodes can prefetch data necessary from stable storage to cache memory for efficient reads and/or writes, allocate space on disk for writes, assign the client to communicate with a specific node among the cluster of nodes based on available cluster resources, etc. In this sense, a more efficient client experience can be offered for HDFS clients within a non-native HDFS environment.
机译:本文提供了利用非本地HDFS环境中接收到的HDFS协议通信的两部分性质的实现,以使用在NameNode请求中学习的区分信息来使客户端体验更有效。 NameNode请求可由节点集群中的任何节点接收。可以理解,在某些非本机HDFS中,客户端可以与群集中的任何节点通信以执行事务,而无需首先与NameNode通信。因此,在接收到NameNode请求后,非本机HDFS节点群集可以从稳定的存储中预取必要的数据到高速缓存,以进行有效的读取和/或写入,在磁盘上分配空间以进行写入,分配客户端以与特定节点进行通信在这种情况下,可以在非本机HDFS环境中为HDFS客户端提供更有效的客户端体验。

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