Venti: A New Approach to Archival Storage
FAST '02 Proceedings of the Conference on File and Storage Technologies
Avoiding the disk bottleneck in the data domain deduplication file system
FAST'08 Proceedings of the 6th USENIX Conference on File and Storage Technologies
Fast, inexpensive content-addressed storage in foundation
ATC'08 USENIX 2008 Annual Technical Conference on Annual Technical Conference
The effectiveness of deduplication on virtual machine disk images
SYSTOR '09 Proceedings of SYSTOR 2009: The Israeli Experimental Systems Conference
Bimodal content defined chunking for backup streams
FAST'10 Proceedings of the 8th USENIX conference on File and storage technologies
Decentralized deduplication in SAN cluster file systems
USENIX'09 Proceedings of the 2009 conference on USENIX Annual technical conference
Building a high-performance deduplication system
USENIXATC'11 Proceedings of the 2011 USENIX conference on USENIX annual technical conference
iDedup: latency-aware, inline data deduplication for primary storage
FAST'12 Proceedings of the 10th USENIX conference on File and Storage Technologies
Reducing impact of data fragmentation caused by in-line deduplication
Proceedings of the 5th Annual International Systems and Storage Conference
Assuring Demanded Read Performance of Data Deduplication Storage with Backup Datasets
MASCOTS '12 Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
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Deduplication is known to effectively eliminate duplicates, yet it introduces fragmentation that degrades read performance. We propose RevDedup, a deduplication system that optimizes reads to the latest backups of virtual machine (VM) images using reverse deduplication. In contrast with conventional deduplication that removes duplicates from new data, RevDedup removes duplicates from old data, thereby shifting fragmentation to old data while keeping the layout of new data as sequential as possible. We evaluate our RevDedup prototype using a 12-week span of real-world VM image snapshots of 160 users. We show that RevDedup achieves high deduplication efficiency, high backup throughput, and high read throughput.