An Adaptive Data Protection Scheme for Optimizing Storage Space
Pages 250 - 260
Abstract
Data is the main driving factor of artificial intelligence represented by machine learning, and how to ensure data security is one of the severe challenges. In many traditional methods, a single snapshot strategy is used to protect data. In order to meet the flexibility of data protection and optimize storage space, this paper presents a new architecture and an implementation in the Linux kernel. The idea is to hook system calls and analyze the relationship between applications and files. By tracking system calls, the system can perceive the file modification and automatically adjust the time interval for generating snapshots. Time granularity changes with the application load to achieve on-demand protection. Extensive experiments have been carried out to show that the scheme can monitor the process of operating files, reduce storage costs and hardly affect the performance of system.
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Published In
Oct 2020
622 pages
ISBN:978-3-030-62459-0
DOI:10.1007/978-3-030-62460-6
© Springer Nature Switzerland AG 2020.
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 08 October 2020
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