RevDedup: A reverse deduplication storage system optimized for reads to latest backups
Refereed conference paper presented and published in conference proceedings


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AbstractDeduplication 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. Copyright 2013 ACM.
All Author(s) ListNg C.-H., Lee P.P.C.
Name of Conference4th Asia-Pacific Workshop on Systems, APSys 2013
Start Date of Conference29/07/2013
End Date of Conference30/07/2013
Place of ConferenceSingapore
Country/Region of ConferenceSingapore
Detailed descriptionorganized by ACM SIGOPS,
Year2013
Month9
Day2
ISBN9781450323161
LanguagesEnglish-United Kingdom

Last updated on 2020-22-11 at 00:32