Research on Disaster Recovery Mechanism of HBase Database Based on Storage Form and Features

doi:10.3969/j.issn.1671-1122.2018.09.007

Abstract

Abstract:

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 timeline, 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 the timing relationships between records and make up for the inadequacies of relying 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.

Key words: cloud platform, disaster recovery, record characteristics, data recovery

CLC Number:

TP309

Wenhua LUO, Zhiming WANG. Research on Disaster Recovery Mechanism of HBase Database Based on Storage Form and Features[J]. Netinfo Security, 2018, 18(9): 42-47.

Figures/Tables 3

References 14

[1]	ALHAZMI O H,MALAIYA Y K.Evaluating Disaster Recovery Plans Using the Cloud[C]//IEEE. Reliability and Maintainability Symposium(RAMS), January 28-31,2013 , Orlando, Florida, USA.New York:IEEE,2013:37-42.
[2]	YANG Yixian, YAO Wenbin, CHEN Wei.A Comprehensive Review of Information System Disaster Recovery Technology[J]. Journal of Beijing University of Posts and Telecommunications,2010,33(2):1-6.
	杨义先,姚文斌,陈钊.信息系统灾备技术综论[J].北京邮电大学学报,2010,33(2):1-6.
[3]	KHANUJA H K, ADANE D S.A Framework for Database Forensic Analysis[J]. Computer Science & Engineering: An International Journal (CSEIJ), 2012, 2(3): 27-44.
[4]	ALDHAQM A,RAZAK S A,OTHMAN S H,et al.Ngadi, Conceptual Investigation Process Model for ManagingDatabase Forensic Investigation Knowledge[J]. Sciences, Engineering and Technology, 2016, 12(4): 386-394.
[5]	CHOI J H,JEONG D W,LEE S J.The Method of Recovery for Deleted Record in Oracle Database[J]. Journal of The Korea Institute of Information Security & Cryptology(JKIISC), 2013, 23(5): 947-955.
[6]	ADEDAYO O M,OLIVIER M S.Ideal Log Setting for Database Forensics Reconstruction[J]. Digital Investigation, 2015(12): 27-40.
[7]	ZHOU Jingzhe, CHEN Changsong.Analysis of Network Information Security Countermeasures for Cloud Computing Architecture[J]. Netinfo Security, 2017, 17(11): 74-79.
	周靖哲,陈长松. 云计算架构的网络信息安全对策分析[J]. 信息网络安全,2017,17(11):74-79.
[8]	YOON J S,JUNG D W,KANG C H,et al.Digital Forensic Investigation of MongoDB[J]. Journal of the Korea Institute of Information Security and Cryptology, 2014, 24(1):123-134.
[9]	CHOI J M,JUNG D W,YOON J S,et al.Digital Forensics Investigation of Redis Database[J]. KIPS Transactions on Computer and Communication Systems, 2016, 5(5):117-126.
[10]	DEAN F C,GHEMAWAT J S,HSIEH W C,et al.Gruber, Bigtable: A Distributed Storage System for Structured Data[J]. Transactions on Computer Systems, 2008, 26(2):205-218.
[11]	GAO X M,JUDY Q.Scalable Inverted Indexing on NoSQL Table Storage[D]. Indiana:School of Informatics and Computing, 2013.
[12]	CHEN Xilin,MA Ding.HBase Storage Structure Design for Weibo Information Analysis[J].Netinfo Security, 2016,16(9): 267-271.
	陈希林,马丁. 针对微博信息分析的HBase存储结构设计[J]. 信息网络安全,2016,16(9):267-271.
[13]	MENG Yongwei, HUANG Jianqiang, CAO Tengfei, et al.Design and Implementation of Hadoop Cluster Deployment Experiment[J].Experimental Technology and Management,2015(1):145-149.
	孟永伟,黄建强,曹腾飞,等.Hadoop集群部署实验的设计与实现[J]. 实验技术与管理,2015(1):145-149.
[14]	LUO Wenhua,WANG Jun,SUN Yuanyuan.Study on Multi-level Data Collaborative Analysis of Nodes Based on Cloud Server[J].Netinfo Security, 2018, 18(3):39-45.
	罗文华,王俊,孙媛媛.基于云服务端的节点多层次数据协同分析研究[J].信息网络安全,2018,18(3):39-45.