ChainKV: A Semantics-Aware Key-Value Store for Ethereum System
Summary: ChainKV: semantics-aware KV store for Ethereum; semantics-aligned zones reduce read/write amplification. ADS data transformer uses locality; cache coordinates; crash recovery eliminates protocol-storage redundancy; yields 1.99x sync and 4.20x query gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zehao Chen (Shandong University)
- 2. Bingzhe Li (University of Texas)
- 3. Xiaojun Cai (Shandong University)
- 4. Zhiping Jia (Shandong University)
- 5. Lei Ju (Quan Cheng Laboratory)
- 6. Zili Shao (Chinese University of Hong Kong)
- 7. Zhaoyan Shen (Shandong University)
BibTeX Citation
@inproceedings{chen_sigmod23,
title = {{ChainKV: A Semantics-Aware Key-Value Store for Ethereum System}},
author = {Chen, Zehao and Li, Bingzhe and Cai, Xiaojun and Jia, Zhiping and Ju, Lei and Shao, Zili and Shen, Zhaoyan},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3626713},
url = {https://dl.acm.org/doi/10.1145/3626713},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,819 | InTime: Towards Performance Predictability In Byzantine Fault Tolerant Proof-of-Stake Consensus | 2025 | SIGMOD | 5.5373997e-05 |
| 8,896 | Aster: Enhancing LSM-structures for Scalable Graph Database | 2025 | SIGMOD | 5.3495662e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 446 | Monkey: Optimal Navigable Key-Value Store | 2017 | SIGMOD | 0.00018332392 |
| 657 | Towards Scaling Blockchain Systems via Sharding | 2019 | SIGMOD | 0.00015236213 |
| 857 | SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data | 2017 | VLDB | 0.00013568886 |
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