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Data and Parity block Placement Policy to enhance storage efficiency and utilization

机译:数据和奇偶校验块放置策略,以提高存储效率和利用率

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HDFS which is known as Hadoop Storage manages fault-tolerance by data block replication. Replicas of data blocks are transmitted to other datanodes in a rack awareness manner. However prior HDFS storage management method wastes storage spaces and makes the situation of unbalanced cluster state. Proposed solution in this paper can save the storage space and maintain the balanced state of the entire cluster.
机译:称为Hadoop存储的HDFS通过数据块复制管理容错。数据块的副本以机架意识方式传输到其他数据区。但是,先前的HDFS存储管理方法浪费存储空间并使群集状态不平衡。本文提出的解决方案可以节省存储空间并保持整个集群的平衡状态。

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