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Load balancing Hadoop distributed file system operations in a non-native operating system

机译:在非本地操作系统中负载均衡Hadoop分布式文件系统操作

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 node among a cluster of nodes to perform transactions and need not first communicate with a NameNode. In addition, any node among the cluster of nodes has access to any data within the HDFS. Thus, upon receiving a NameNode request, the non-native HDFS Cluster of Nodes can more effectively load balance the cluster by directing HDFS clients to connect with Nodes that are less busy than other nodes. 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,在某些非本地HDFS中,客户端可以与节点群集中的任何节点通信以执行事务,而无需首先与NameNode通信。另外,节点集群中的任何节点都可以访问HDFS中的任何数据。因此,在接收到NameNode请求后,非本地HDFS节点群集可以通过指示HDFS客户端与不比其他节点繁忙的节点连接来更有效地平衡群集。从这个意义上讲,可以在非本地HDFS环境中为HDFS客户端提供更有效的客户端体验。

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