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.
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.
出处
《广东工业大学学报》
CAS
2014年第4期46-53,共8页
Journal of Guangdong University of Technology
基金
广东省自然科学基金资助项目(S2012040006729)
广州市科技计划项目(2013Y2-00063
2013Y2-00033)
关键词
云存储
数据安全
隐私保护
自主可控
元数据
cloud storage
data security
privacy preserving
self-management
metadata
