A Data Deduplication Framework of Disk Images with Adaptive Block Skipping

• Published in: Journal of computer science and technology Vol. 31; no. 4; pp. 820 - 835
• Main Authors: Zhou, Bing, Wen, Jiang-Tao
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.07.2016; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Computer Science; Data Structures and Information Theory; Datasets; Disks; Hash based algorithms; Heuristic; Indexing; Information management; Information Systems Applications (incl.Internet); Laboratories; Metadata; Performance evaluation; Random access memory; Regular Paper; Reproduction; Software Engineering; Studies; Theory of Computation; 删除操作; 匹配过程; 图像; 数据删除; 框架; 磁盘镜像; 自适应; 重复数据; United States > US; adaptive block skipping; metadata; data deduplication

We describe an efficient and easily applicable data deduplication framework with heuristic prediction based adaptive block skipping for the real-world dataset such as disk images to save deduplication related overheads and improve deduplication throughput with good deduplication efficiency maintaine...