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作 者:罗文华[1] 王志铭 LUO Wenhua;WANG Zhiming(Cyber Crime Investigation Department,Criminal Investigation Police University of China,Shenyang Liaoning110035,China)
机构地区:[1]中国刑事警察学院网络犯罪侦查系,辽宁沈阳110035
出 处:《信息网络安全》2018年第9期42-47,共6页Netinfo Security
基 金:国家自然科学基金[61471134];公安部技术研究计划[2017JSYJA10]
摘 要:文章在解析以HBase为代表的No SQL数据库系统架构基础上,对比传统灾难恢复机制,深入挖掘了数据随存储流程时间线的变化规律,实现了弱依靠甚至不依靠日志信息实现数据还原与数据恢复的机制,以规避传统灾难恢复的不足。将数据存储形态与特征纳入灾难恢复考量范畴,可以更为充分地理解记录间时序关系,弥补单纯依靠日志重放操作行为的不足,特别是在发生恶意操作或误操作的情况下,实现了还原数据的目的,并在分布式数据库删除数据恢复方面取得了较为满意的效果。Based on the analysis of the NoSQL database system architecture represented by HBase, compared with the traditional disaster recovery mechanism, it deeply explored the changing rule of the data with the storage process time line, and realized the mechanism of data restoration and data recovery by relying on or even not relying on log information. To circumvent the shortcomings of traditional disaster recovery. By incorporating data storage forms and characteristics into disaster recovery considerations, we can more fully understand he timing relationships between records and make up for the inadequacies of relyin g solely on log replay operations, especially in the event of malicious operations or misoperations, the purpose of restoring data is achieved, and relatively satisfactory results are obtained in data recovery of the distributed database deletion.
分 类 号:TP309[自动化与计算机技术—计算机系统结构]
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