Breathing New Life into An Old Tree: Resolving Logging Dilemma of B+-tree on Modern Computational Storage Drives
Summary: Per-page logging B+-tree splits the monolithic log into many static 4KB per-page logs on computational storage drives with transparent compression, creating overprovisioned, highly-compressible log space to accelerate small-write operations. Recovery skips per-page log scans so latency is independent of total log size; prototype yields up to 625% higher throughput, 19.2 ms recovery, and 0.5–1.6% storage overhead. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Kecheng Huang (Chinese University of Hong Kong)
- 2. Zhaoyan Shen (Shandong University)
- 3. Zili Shao (Chinese University of Hong Kong)
- 4. Tong Zhang (Rensselaer Polytechnic Institute; ScaleFlux Inc.)
- 5. Feng Chen (Louisiana State University)
BibTeX Citation
@article{huang_vldb24,
title = {{Breathing New Life into An Old Tree: Resolving Logging Dilemma of B+-tree on Modern Computational Storage Drives}},
author = {Huang, Kecheng and Shen, Zhaoyan and Shao, Zili and Zhang, Tong and Chen, Feng},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {2},
pages = {134--147},
doi = {10.14778/3626292.3626297},
url = {https://doi.org/10.14778/3626292.3626297},
year = {2024}
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