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Analysis and research of MapReduce multi-group fault-tolerant mechanism architecture under cloud computing

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Analysis and research of MapReduce multi-group fault-tolerant mechanism architecture under cloud computing

Zhang Zhibin Li Yange

A mapreduce fault-tolerant mechanism is proposed to improve the traditional Hadoop mapreduce architecture, that is, to increase the number of relationships between task-t racker nodes in the same cabinet, which can shorten the time of discovering the failed nodes and reduce the JOBT The load of the Racker node reduces the bandwidth usage and the network congestion. The experimental results show that the MapReduce fault-tolerant mechanism improves the efficiency of M apreduce.


Analysis and research of MapReduce multi-group fault-tolerant mechanism architecture under cloud computing

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