Efficient Metadata Management in Block-Level CDP System for Cyber Security
| Autor: | Naixue Xiong, Fengjun Xiao, Hongyan Li |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Scheme (programming language)
CDP General Computer Science Computer science Reliability (computer networking) General Engineering security Computer security computer.software_genre data backup Continuous data protection Backup Metadata management Data_FILES Data Protection Act 1998 General Materials Science State (computer science) metadata management lcsh:Electrical engineering. Electronics. Nuclear engineering computer recovery time lcsh:TK1-9971 computer.programming_language |
| Zdroj: | IEEE Access, Vol 7, Pp 151569-151578 (2019) |
| ISSN: | 2169-3536 |
| Popis: | Continuous Data Protection (CDP) is an emerging scheme of data backup and recovery for Cyber Security. Compared with traditional data protection techniques, it can provide much higher reliability and allow the data state to be reverted to any point-in-time in the past. CDP continuously captures and logs every disk update, producing large amount of information, thus desperately requires an efficient mechanism of organizing such information (about the disk I/Os) in order to guarantee the performance to be acceptable. However, there are few works which address the organization of history data to improve the recovery efficiency in case of the disaster occurrences. In this paper, three methods of metadata management for Cyber Security are presented, of which two are simple implementations based on MySQL database (named DIR_MySQL and OPT_MySQL respectively) and the other one is designed with consideration of its characteristics. Experimental results show that META_CDP method is far more efficient than the other two and its performance is reasonably acceptable. Furthermore, we discuss in-depth two recovery algorithms, which are full-recovery and incremental recovery. Users can choose the optimal recovery algorithm based on the required recovery time point. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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