The Snapshot View Analysis for Continuous Data Protection

Cheng, Yueqiang; Zhou, Huaizhe; Wu, Jiangjiang; Ma, Jun; Wang, Zhiying

doi:10.1109/icnisc.2017.00042

Cited by 1 publication

(1 citation statement)

References 5 publications

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“…8 STRAP achieved the goal of not adding too much extra storage space but improving recovery efficiency by introducing subchains into the TRAP log chain instead of directly inserting snapshots. The temporal and spatial performance of three CDP methods, TRAP, STCDP, and STRAP, was analyzed by Cheng et al 9 According to the problem of lacking RAID protection mechanism and increasing the risk of historical data loss by TRAP-Array parity logs store CDP historical data, Yu et al proposed to use SSD as the source data volume and SRAID as the CDP log volume to store parity logs, improving the reliability of parity logs. 10 File-level CDP uses file operation intercepts and logs for the file system to achieve CDP.…”

Section: Related Workmentioning

confidence: 99%

A smart file‐level continuous data protection scheme based on security baseline

Xiao

Xiangxiang

Sun

et al. 2022

Int J of Intelligent Sys

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There is a rapidly growing interest in securing big data due to the rapid development of cloud computing, big data, and other information technologies according to the fourth industrial revolution. Continuous data protection (CDP) is an effective method to deal with huge loss caused by data loss. More optimal design methods are available and studies on the establishment of the knowledge base for an efficient backup data management in the CDP field. In this paper, a knowledge‐based smart file‐level CDP scheme is suggested. The user's foundation database and context information are applied to machine learning technology, enabling a large amount of files' log data and context information accumulated continuously to be stored in the knowledge base using B + tree structure. This enables high performance and flexibility in the data protection management system. The result of comparative evaluation with different security risk levels for verifying the validity shows that the suggested method presented a higher performance in write/query operations and storage overhead.

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Section: Related Workmentioning

confidence: 99%