STsCache: An Efficient Semantic Caching Scheme for Time-series Data Workloads Based on Hybrid Storage
Summary: STsCache introduces semantic time-series caching, exploiting historical query results via a memory–NVMe hybrid store. Slab management, semantic indexing, value-driven eviction, time-aware deduplication, and lazy compaction deliver major throughput, latency, and hit-rate gains. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Tao Kong (Xidian University)
- 2. Hui Li (Xidian University; Yunxi Technology Co., Ltd.)
- 3. Yuxuan Zhao (Xidian University)
- 4. Liping Li (Xidian University)
- 5. Xiyue Gao (Xidian University)
- 6. Qilong Wu (Xidian University)
- 7. Jiangtao Cui (Xidian University)
BibTeX Citation
@article{kong_vldb25,
title = {{STsCache: An Efficient Semantic Caching Scheme for Time-series Data Workloads Based on Hybrid Storage}},
author = {Kong, Tao and Li, Hui and Zhao, Yuxuan and Li, Liping and Gao, Xiyue and Wu, Qilong and Cui, Jiangtao},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {9},
pages = {2964--2977},
doi = {10.14778/3746405.3746421},
url = {https://doi.org/10.14778/3746405.3746421},
year = {2025}
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