Cutting to the Chase: NVMe-oF Fast-track for Replicated Persistent Key-value Stores

Adopting replicated persistent key-value stores (RPKVSs) as metadata backends is becoming increasingly popular in modern large-scale storage systems. Conventional RPC-based KV replication is infamously subject to its replication overheads due to the inherent architectural mismatch between the application-level network stack and storage-prioritized operations. In this paper, we shift toward a new paradigm of storage-native block-based replication to fundamentally address the limitations of conventional replication. This shift is made possible by using widely deployed NVMe-oF technology to unify replication and storage efficiency under integrated block semantics. We present NoFDB , an NVMe-oF-enabled RPKVS design, that eliminates redundant index management and reduces replication latency, and introduces a set of system-level optimizations to address the challenges introduced by NVMe-oF and unlock its performance potential. Our evaluation shows that NoFDB improves random write throughput by up to 2.85 × and macrobenchmark throughput by up to 3.10 × over the best-performing baseline in each setting.

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Publication Details

Journal
ACM Transactions on Architecture and Code Optimization
Published
2026-08-27
DOI
https://doi.org/10.1145/3843231
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
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article

Cutting to the Chase: NVMe-oF Fast-track for Replicated Persistent Key-value Stores

Ke Zhou, Bao Liang, Hua Wang, Kecheng Huang et al.
ACM Transactions on Architecture and Code Optimization
Advanced Data Storage Technologies
article

Cutting to the Chase: NVMe-oF Fast-track for Replicated Persistent Key-value Stores

Ke Zhou, Bao Liang, Hua Wang, Kecheng Huang, Ruisong Zhou, Shi Chen, Hui Li, Jiajie Liu
article en

Abstract

Adopting replicated persistent key-value stores (RPKVSs) as metadata backends is becoming increasingly popular in modern large-scale storage systems. Conventional RPC-based KV replication is infamously subject to its replication overheads due to the inherent architectural mismatch between the application-level network stack and storage-prioritized operations. In this paper, we shift toward a new paradigm of storage-native block-based replication to fundamentally address the limitations of conventional replication. This shift is made possible by using widely deployed NVMe-oF technology to unify replication and storage efficiency under integrated block semantics. We present NoFDB , an NVMe-oF-enabled RPKVS design, that eliminates redundant index management and reduces replication latency, and introduces a set of system-level optimizations to address the challenges introduced by NVMe-oF and unlock its performance potential. Our evaluation shows that NoFDB improves random write throughput by up to 2.85 × and macrobenchmark throughput by up to 3.10 × over the best-performing baseline in each setting.

ACM Transactions on Architecture and Code Optimization
Chinese University of Hong Kong (HK), Wuhan National Laboratory for Optoelectronics (CN), Inspur (China) (CN), PRG S&Tech (South Korea), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 7%
Advanced Data Storage Technologies
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