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Hadoop High Availability with Linux HA

机译:Linux HA的Hadoop高可用性

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This paper proposes The High Availability Method using Heartbeat and DRBD on Hadoop Namenode Failover. Implementation of Hadoop as computing process framework and media storage needs to be supported by the availability in case of failure. Cluster system utilization in Hadoop with many Datanode is one of the strength points. Stored file will be replicated in distributed datanode as blocks that makes if one the datanode server fails, the other datanodes server still has duplicates blocks. The problem in hadoop system, there is just one Namenode which is the communicator between users and Datanodes. While Namenode goes down then users can't access files stored in Datanode. This proposed method accomplishes the Namenode failover process. The use of this method is very effective because it can accelerate downtime with automatic failover formed by Heartbeat and real-time mirroring formed by DRBD. The results indicate that the use of DRBD and Heartbeat may accelerate failover time of less than 10 seconds.
机译:本文提出了在Hadoop Namenode故障转移上使用心跳和DRBD的高可用性方法。发生故障时,可用性需要支持Hadoop作为计算过程框架和媒体存储的实现。具有许多Datanode的Hadoop中的群集系统利用率是优点之一。存储的文件将作为块复制到分布式datanode中,这使得如果一个datanode服务器发生故障,另一datanodes服务器仍然具有重复的块。 hadoop系统中的问题是,只有一个Namenode,即用户和Datanode之间的通信者。当Namenode出现故障时,用户将无法访问Datanode中存储的文件。此提议的方法完成了Namenode故障转移过程。使用此方法非常有效,因为它可以通过Heartbeat形成的自动故障转移和DRBD形成的实时镜像来加快停机时间。结果表明,使用DRBD和Heartbeat可以将故障转移时间缩短到不到10秒。

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