XLL: Cross-Layer Logging for Data Deduplication in Consensus-Based Storage
John Shawger, Arnav Jhingran, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
摘要
Modern distributed storage systems exhibit cross-layer data duplication, writing data to disk once during a consensus phase and again during a local database logging phase. The result is poor performance and significant write amplification. To remedy this cross-layer redundancy, we design and implement Cross-Layer Log (XLL), a shared log built upon the principle of key-value separation. We use XLL to deduplicate updates within a distributed key-value store (TiKV), leading to a 5.5x increase in write throughput while reducing write amplification by 73%. We also demonstrate the effectiveness of our crash recovery protocol in maintaining data integrity.
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