基于Hadoop分布式文件系统的完全数据删除

Proceedings of the 3rd International Conference on Computer Science and Application Engineering Pub Date : 2019-10-22 DOI:10.1145/3331453.3360966

Fulin Wang, Shunxiang Wu, Jian-Huai Cai, Longze Zhao, Zhendong Liao, Daodong Ming

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引用次数: 1

摘要

Hadoop文件存储系统删除机制存在磁盘残留问题。处理步骤本文提出了一种“即插即用”的删除方法，以达到完全删除数据的目的。经过仿真和恢复实验，该方法可以有效地破坏原始数据。同时，该方法也适用于一些基于Hadoop的大数据集群。不需要重新部署集群，可以直接部署在已经运行的大数据集群中。

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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Complete Data Deletion Based on Hadoop Distributed File System

There is a disk residual problem for the deletion mechanism of the Hadoop file storage system. This paper proposes a "plug and play" deletion method to achieve the purpose of completely deleting data. After simulation and recovery experiments, this method can effectively destroy the original data. At the same time, this method can be applied to some Big data clusters which are based on Hadoop. It does not need to redeploy the cluster and can be directly deployed in the already running big data cluster.

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Proceedings of the 3rd International Conference on Computer Science and Application Engineering

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