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Prophecy: Using History for High-Throughput Fault Tolerance., , и . NSDI, стр. 345-360. USENIX Association, (2010)Existential consistency: measuring and understanding consistency at Facebook., , , , , , , и . SOSP, стр. 295-310. ACM, (2015)SNOW Revisited: Understanding When Ideal READ Transactions Are Possible., , , и . IPDPS, стр. 922-931. IEEE, (2021)Challenges to Adopting Stronger Consistency at Scale., , , , и . HotOS, USENIX Association, (2015)Accelerating Skewed Workloads With Performance Multipliers in the TurboDB Distributed Database., , , и . NSDI, USENIX Association, (2024)K2: Reading Quickly from Storage Across Many Datacenters., , и . DSN, стр. 199-211. IEEE, (2021)Gryff: Unifying Consensus and Shared Registers., , и . NSDI, стр. 591-617. USENIX Association, (2020)I Can't Believe It's Not Causal! Scalable Causal Consistency with No Slowdown Cascades., , , , , и . NSDI, стр. 453-468. USENIX Association, (2017)The SNOW Theorem and Latency-Optimal Read-Only Transactions., , , , и . OSDI, стр. 135-150. USENIX Association, (2016)f4: Facebook's Warm BLOB Storage System., , , , , , , , , и 1 other автор(ы). OSDI, стр. 383-398. USENIX Association, (2014)