Complete Data Deletion Based on Hadoop Distributed File System

被引：1

作者：

Wang, Fulin ^{[1
]}

Wu, Shunxiang ^{[1
]}

Cai, Jianhuai ^{[2
]}

Zhao, Longze ^{[1
]}

Liao, Zhendong ^{[1
]}

Ming, Daodong ^{[1
]}

机构：

[1] Xiamen Univ, Dept Automat, Xiamen, Peoples R China

[2] Xiamen Univ, Dept Life Sci, Xiamen, Peoples R China

来源：

PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE2019) | 2019年

关键词：

Hadoop; Data residual; Delete data completely;

D O I：

10.1145/3331453.3360966

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页数：5

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