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首页> 外文期刊>Journal of signal processing systems for signal, image, and video technology >SAFE: A Source Deduplication Framework for Efficient Cloud Backup Services
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SAFE: A Source Deduplication Framework for Efficient Cloud Backup Services

机译：SAFE：高效云备份服务的源重复数据删除框架

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摘要

Due to the relatively low bandwidth of WAN that supports cloud backup services and the increasing amount of backed-up data stored at service providers, the deduplication scheme used in the cloud backup environment must remove the redundant data for backup operations to reduce backup times and storage costs and for restore operations to reduce restore times. In this paper, we propose SAFE, a source deduplication framework for efficient cloud backup and restore operations. SAFE consists of three salient features, (1) Hybrid Deduplication, combining the global file-level and local chunk-level deduplication to achieve an optimal tradeoff between the deduplication efficiency and overhead to achieve a short backup time; (2) Semantic-aware Elimination, exploiting file semantics to narrow the search space for the redundant data in hybrid deduplication process to reduce the deduplication overhead; and (3) Unmodified Data Removal, removing the files and data chunks that are kept intact from data transmission for some restore operations. Through extensive experiments driven by real-world datasets, the SAFE framework is shown to maintain a much higher deduplication efficiency/overhead ratio than existing solutions, shortening the backup time by an average of 38.7 ％, and reduce the restore time by a ratio of up to 9.7: 1.
机译：由于支持云备份服务的WAN带宽相对较低，并且在服务提供商处存储的备份数据数量不断增加，因此云备份环境中使用的重复数据删除方案必须删除冗余数据以进行备份操作，以减少备份时间和存储空间成本和还原操作，以减少还原时间。在本文中，我们提出了SAFE，这是一种用于高效的云备份和还原操作的源重复数据删除框架。 SAFE具有三个显着特征：（1）混合重复数据删除，将全局文件级和本地块级重复数据删除相结合，从而在重复数据删除效率和开销之间实现最佳折衷，从而缩短备份时间； （2）消除语义，在混合重复数据删除过程中利用文件语义来缩小冗余数据的搜索空间，以减少重复数据删除开销； （3）未经修改的数据删除，从某些传输操作的数据传输中删除保留完整的文件和数据块。通过现实世界数据集的广泛实验，表明SAFE框架与现有解决方案相比，可保持更高的重复数据删除效率/开销比率，将备份时间平均缩短38.7％，并将恢复时间减少多达30％。至9.7：1。

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