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- W2058716449 abstract "Apart from high space efficiency, other demanding requirements for enterprise de-duplication backup are high performance, high scalability, and availability for large-scale distributed environments. The main challenge is reducing the significant disk input/output (I/O) overhead as a result of constantly accessing the disk to identify duplicate chunks. Existing inline de-duplication approaches mainly rely on duplicate locality to avoid disk bottleneck, thus suffering from degradation under poor duplicate locality workload. This paper presents Chunkfarm, a post-processing de-duplication backup system designed to improve capacity, throughput, and scalability for de-duplication. Chunkfarm performs de-duplication backup using the hash join algorithm, which turns the notoriously random and small disk I/Os of fingerprint lookups and updates into large sequential disk I/Os, hence achieving high write throughput not influenced by workload locality. More importantly, by decentralizing fingerprint lookup and update, Chunkfarm supports a cluster of servers to perform de-duplication backup in parallel; it hence is conducive to distributed implementation and thus applicable to large-scale and distributed storage systems." @default.
- W2058716449 created "2016-06-24" @default.
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- W2058716449 date "2010-05-01" @default.
- W2058716449 modified "2023-09-25" @default.
- W2058716449 title "Scalable high performance de-duplication backup via hash join" @default.
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- W2058716449 doi "https://doi.org/10.1631/jzus.c0910445" @default.
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