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Reclaiming space from duplicate files in a serverless distributed file system

Douceur, J.R., Adya, A., Bolosky, W.J., Simon, P., Theimer, M.·2003·Proceedings 22nd International Conference on Distributed Computing Systems

Abstract

The Farsite distributed file system provides availability by replicating each file onto multiple desktop computers. Since this replication consumes significant storage space, it is important to reclaim used space where possible. Measurement of over 500 desktop file systems shows that nearly half of all consumed space is occupied by duplicate files. We present a mechanism to reclaim space from this incidental duplication to make it available for controlled file replication. Our mechanism includes: (1) convergent encryption, which enables duplicate files to be coalesced into the space of a single file, even if the files are encrypted with different users' keys; and (2) SALAD, a Self-Arranging Lossy Associative Database for aggregating file content and location information in a decentralized, scalable, fault-tolerant manner. Large-scale simulation experiments show that the duplicate-file coalescing system is scalable, highly effective, and fault-tolerant.

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Metadata

Authors
Douceur, J. R., Adya, A., Bolosky, W. J., Simon, P., & Theimer, M.
Venue
Proceedings 22nd International Conference on Distributed Computing Systems
Published
2003-06-25
Pages
617-624
OpenAlex
W2157240622
Cited by
645
References
1
FWCI
3.25
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reclaiming space from duplicate files in a serverless distributed file system. https://app.cochat.ai/papers/10.1109/icdcs.2002.1022312
The paper
Douceur, J. R., Adya, A., Bolosky, W. J., Simon, P., & Theimer, M. (2003). Reclaiming space from duplicate files in a serverless distributed file system. Proceedings 22nd International Conference on Distributed Computing Systems. https://doi.org/10.1109/icdcs.2002.1022312

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.