Metadedup:间接删除加密重复数据删除中的元数据

Jingwei Li, P. Lee, Yanjing Ren, Xiaosong Zhang
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引用次数: 8

摘要

加密重复数据删除将加密和重复数据删除无缝地结合在一起,为重复数据删除存储中的物理数据提供机密性保证,但由于需要额外存储密钥,因此会产生大量元数据存储开销。我们提出了一种新的加密的重复数据删除存储系统,称为Metadedup,它通过对元数据应用重复数据删除来抑制元数据存储。它的思想建立在间接的基础上,它增加了另一层元数据块来记录元数据信息。我们发现元数据块在实际工作负载中是高度冗余的,因此可以有效地进行重复数据删除。此外,元数据块可以在相同的加密重复数据删除框架下得到保护,从而为元数据提供保密性保证。我们通过微基准测试、原型实验和跟踪驱动仿真来评估Metadedup。Metadedup在元数据处理方面的计算开销有限,在网络环境中存储文件时,平均只增加6.19%的性能开销。此外,对于真实的备份工作负载,Metadedup最多可以节省97.46%的元数据存储,而元数据块的索引开销仅为1.07%。
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Metadedup: Deduplicating Metadata in Encrypted Deduplication via Indirection
Encrypted deduplication combines encryption and deduplication in a seamless way to provide confidentiality guarantees for the physical data in deduplication storage, yet it incurs substantial metadata storage overhead due to the additional storage of keys. We present a new encrypted deduplication storage system called Metadedup, which suppresses metadata storage by also applying deduplication to metadata. Its idea builds on indirection, which adds another level of metadata chunks that record metadata information. We find that metadata chunks are highly redundant in real-world workloads and hence can be effectively deduplicated. In addition, metadata chunks can be protected under the same encrypted deduplication framework, thereby providing confidentiality guarantees for metadata as well. We evaluate Metadedup through microbenchmarks, prototype experiments, and trace-driven simulation. Metadedup has limited computational overhead in metadata processing, and only adds 6.19% of performance overhead on average when storing files in a networked setting. Also, for real-world backup workloads, Metadedup saves the metadata storage by up to 97.46% at the expense of only up to 1.07% of indexing overhead for metadata chunks.
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