Metadata Management of Cloud Storage Platform Based on Sensitive Information SelfManagement

Xu Qing-lin; Qin Guo-min; Jiang Wen-chao; Xie Yan-li

doi:10.3969/j.issn.1007-7162.2014.04.009

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Metadata Management of Cloud Storage Platform Based on Sensitive Information SelfManagement

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- Metadata Management of Cloud Storage Platform Based on Sensitive Information SelfManagement
- Vol. 31, Issue 4, Pages: 46-53(2014)
- 作者机构：
- 作者简介：
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- DOI：10.3969/j.issn.1007-7162.2014.04.009
  CLC：
- Online First：28 December 2014，
  
  Published：2014
- 稿件说明：
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许青林, 覃国民, 姜文超, 谢燕丽. 敏感数据自主可控的云存储平台元数据管理[J]. 广东工业大学学报, 2014, 31(4): 46-53.

Xu Qing-lin, Qin Guo-min, Jiang Wen-chao, et al. Metadata Management of Cloud Storage Platform Based on Sensitive Information SelfManagement[J]. 2014, 31(4): 46-53.
许青林, 覃国民, 姜文超, 谢燕丽. 敏感数据自主可控的云存储平台元数据管理[J]. 广东工业大学学报, 2014, 31(4): 46-53. DOI： 10.3969/j.issn.1007-7162.2014.04.009.

Xu Qing-lin, Qin Guo-min, Jiang Wen-chao, et al. Metadata Management of Cloud Storage Platform Based on Sensitive Information SelfManagement[J]. 2014, 31(4): 46-53. DOI： 10.3969/j.issn.1007-7162.2014.04.009.

摘要

针对传统云存储平台的敏感数据的安全问题，将元数据管理分成客户端元数据管理与云端元数据管理两部分，元数据子服务器自主提取、维护、读写和存储敏感信息的元数据，在映射关系方面采用基于文件与数据块之间冗余随机映射算法提高文件存储的安全性，同时采用按需询问同步策略保障元数据子服务器与云端元数据服务器之间的数据块到数据存储中心映射关系的一致性，确保整个存储系统的稳定性与可靠性.在多用户并发访问下，对不同规模数据集的读、写性能的实验测试表明，该存储系统在自主管理敏感信息元数据的前提下，与HDFS、GFS相比仍具有较好读写性能和稳定的数据持久化能力.

Abstract

Considering the sensitive information security issue on the traditional cloud storage platform

It divided metadata management into two parts

the client side metadata managementSub-Metadata Server(Sub-MS) and the cloud side metadata management-Core Metadata Server(CMS). Sub-MS aimed to extract independently ，maintain，read and write and store the metadata with sensitive information

which used the random redundancy algorithm in maintaining mapping relations

based on the redundancy between files and data blocks

to improve the files storage security. At the same time

Sub-MS used the request synchronism strategy to keep the consistency of mapping relations from data blocks to Data Server(DS）between Sub-MS and CMS

to insure the stability and reliability of the whole storage system. With multi-user concurrent access

the experiment about performance of reading and writing for the data sets of different sizes indicates that compared with HDFS and GFS

SISM still has good reading and writing performance and data persistence capabilities in managing metadata of sensitive information by itself.

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