ArkDB: A Key-Value Engine for Scalable Cloud Storage Services
Summary: ArkDB fuses LSM-tree and Bw-tree on Pangu to handle disaggregated storage, heavy writes, and range queries, with a shrinkable page mapping table and fast recovery. It outperforms RocksDB (2.16x ingestion, 3.1x write amplification) and yields 52%/37% gains on Yahoo! YCSB for write-heavy and range workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
BibTeX Citation
@inproceedings{pang_sigmod21,
title = {{ArkDB: A Key-Value Engine for Scalable Cloud Storage Services}},
author = {Pang, Zhu and Lu, Qingda and Chen, Shuo and Wang, Rui and Xu, Yikang and Wu, Jiesheng},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3457553},
url = {https://dl.acm.org/doi/10.1145/3448016.3457553},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,521 | BG3: A Cost Effective and I/O Efficient Graph Database in ByteDance | 2024 | SIGMOD | 5.8534756e-05 |
| 7,812 | LETUS: A Log-Structured Efficient Trusted Universal BlockChain Storage | 2024 | SIGMOD | 5.5393291e-05 |
| 9,768 | CDSBen: Benchmarking the Performance of Storage Services in Cloud-native Database System at ByteDance | 2023 | VLDB | 5.2212078e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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