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| Content Provider | ACM Digital Library |
|---|---|
| Author | Lin, Bin Li, Shanshan Liao, Xiangke |
| Abstract | Deduplication technology has been increasingly used to reduce the primary storage cost, while it often causes additional on-disk fragmentation that impairs the reading performance. Existing deduplication algorithms mainly focus on the static data layout design so that the random I/O requests are largely avoided and the harmful effect can be alleviated. However, our trace-driven emulations show that, deduplication does not always impair the reading. It offers unique new opportunities for reading performance optimization by more possible cache hits. Motivated by this, we propose a novel cache-aware deduplication scheme CareDedup to well leverage the new opportunities. Based on a uniform locality assessment algorithm design, CareDedup selects the most profitable duplicated blocks to deduplicate for maximizing the reading performance. |
| Starting Page | 1 |
| Ending Page | 2 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781450325493 |
| DOI | 10.1145/2541614.2541615 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-12-09 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Deduplication Cache Read performance |
| Content Type | Text |
| Resource Type | Article |
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