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Efficient Deduplication Techniques for Modern Backup Operation

Title
Efficient Deduplication Techniques for Modern Backup Operation
Author
원유집
Keywords
Deduplication; chunking; backup; index partitioning; fingerprint lookup; SYSTEM
Issue Date
2011-06
Publisher
IEEE INSTITUTE OF ELECTRICAL AND ELECTRONICS
Citation
IEEE Transactions on Computers, 2011, 60(6), P.824~840
Abstract
In this work, we focus on optimizing the deduplication system by adjusting the pertinent factors in fingerprint lookup and chunking, the factors which we identify as the key ingredients of efficient deduplication. For efficient fingerprint lookup, we propose fingerprint management scheme called LRU-based Index Partitioning. For efficient chunking, we propose Incremental Modulo-K(INC-K) algorithm which is optimized Rabin's algorithm where we significantly reduce the number of arithmetic operations exploiting the algebraic nature of modulo arithmetic. LRU-based Index Partitioning uses the notion of tablet and enforces access locality of the fingerprint lookup in storing fingerprints. We maintain tablets with LRU manner to exploit temporal locality of the fingerprint lookup. To preserve access correlation across the tablets, we apply prefetching in maintaining tablet list. We propose Context-aware chunking to maximize chunking speed and deduplication ratio. We develop prototype backup system and performed comprehensive analysis on various factors and their relationship: average chunk size, chunking speed, deduplication ratio, tablet management algorithms, and overall backup speed. By increasing the average chunk size from 4 KB to 10 KB, chunking time increases by 34.3 percent, deduplication ratio decreases by 0.66 percent and the overall backup speed increases by 50 percent (from 51.4 MB/sec to 77.8 MB/sec).
URI
https://ieeexplore.ieee.org/abstract/document/5669285/https://repository.hanyang.ac.kr/handle/20.500.11754/70444
ISSN
0018-9340
DOI
10.1109/TC.2010.263
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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