Enhancing NameNode fault tolerance in Hadoop over cloud environment

Lino Abraham Varghese, V. Sreejith, S. Bose
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引用次数: 3

Abstract

Risks on user applications has significantly changed in the cloud computing infrastructure because of the failures such as server overload, network congestion, hardware faults, etc. Hadoop uses a single metadata server namely NameNode (NN) which keeps the whole file system metadata in primary memory. In Hadoop, the I/O operations associated with those credential metadata makes NameNode a Single Point of Failure. The system achieves fault tolerance by using an Observer Tool, which will continuously monitor the NN. It proactively calculates chances of any crash and in such a case system will run using the secondary NN.
增强Hadoop over cloud环境下NameNode的容错能力
在云计算基础设施中,由于服务器过载、网络拥塞、硬件故障等故障,用户应用程序的风险发生了显著变化。Hadoop使用一个元数据服务器,即NameNode (NN),它将整个文件系统元数据保存在主内存中。在Hadoop中,与这些凭证元数据相关的I/O操作使NameNode成为单点故障。该系统通过使用观察者工具实现容错,该工具将持续监控神经网络。它主动计算任何崩溃的可能性,在这种情况下,系统将使用次级神经网络运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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