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I/O Deduplication: Utilizing Content Similarity to Improve I/O Performance
| Citations: | 48 - 5 self |
BibTeX
@MISC{Koller_i/odeduplication:,
author = {Ricardo Koller and Raju Rangaswami},
title = {I/O Deduplication: Utilizing Content Similarity to Improve I/O Performance},
year = {}
}
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Abstract
Duplication of data in storage systems is becoming increasingly common. We introduce I/O Deduplication, a storage optimization that utilizes content similarity for improving I/O performance by eliminating I/O operations and reducing the mechanical delays during I/O operations. I/O Deduplication consists of three main techniques: content-based caching, dynamic replica retrieval, and selective duplication. Each of these techniques is motivated by our observations with I/O workload traces obtained from actively-used production storage systems, all of which revealed surprisingly high levels of content similarity for both stored and accessed data. Evaluation of a prototype implementation using these workloads showed an overall improvement in disk I/O performance of 28 to 47 % across these workloads. Further breakdown also showed that each of the three techniques contributed significantly to the overall performance improvement.
Keyphrases
utilizing content similarity content similarity storage system prototype implementation storage optimization main technique high level workload trace dynamic replica retrieval overall improvement overall performance improvement content-based caching deduplication consists mechanical delay selective duplication actively-used production storage system
