TSCache: An Efficient Flash-based Caching Scheme for Time-series Data Workloads
Summary: TSCache is a flash cache tailored to time-series workloads, combining slab management, two-level indexing, adaptive time-aware eviction, and low-cost compaction. A Fatcache prototype boosts bandwidth up to 6.7× and cuts latency up to 84.2%. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jian Liu (Louisiana State University)
- 2. Kefei Wang (Louisiana State University)
- 3. Feng Chen (Louisiana State University)
BibTeX Citation
@article{liu_vldb21,
title = {{TSCache: An Efficient Flash-based Caching Scheme for Time-series Data Workloads}},
author = {Liu, Jian and Wang, Kefei and Chen, Feng},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {13},
pages = {3253--3266},
doi = {10.14778/3484224.3484225},
url = {https://doi.org/10.14778/3484224.3484225},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,180 | Visualization-aware Time Series Min-Max Caching with Error Bound Guarantees | 2024 | VLDB | 5.949572e-05 |
| 8,167 | DecLog: Decentralized Logging in Non-Volatile Memory for Time Series Database Systems | 2024 | VLDB | 5.4745703e-05 |
| 10,901 | STsCache: An Efficient Semantic Caching Scheme for Time-series Data Workloads Based on Hybrid Storage | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 148 | Gorilla: A Fast, Scalable, In-Memory Time Series Database | 2015 | VLDB | 0.00029250767 |
| 612 | Twitter Heron: Stream Processing at Scale | 2015 | SIGMOD | 0.0001573018 |
| 1,242 | Druid: A Real-time Analytical Data Store | 2014 | SIGMOD | 0.00011516162 |
| 1,352 | Scuba: Diving into Data at Facebook | 2013 | VLDB | 0.00011064595 |
| 1,401 | Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems | 2014 | SIGMOD | 0.00010889902 |
| 2,207 | Shark: Fast Data Analysis Using Coarse-grained Distributed Memory | 2012 | SIGMOD | 8.9565862e-05 |
| 3,123 | Monarch: Google’s Planet-Scale In-Memory Time Series Database | 2020 | VLDB | 7.7354933e-05 |
| 4,882 | Managing Massive Time Series Streams with Multi-Scale Compressed Trickles | 2009 | VLDB | 6.4651572e-05 |
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| 1 | 8,255 | B^link-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases | 2023 | VLDB |
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| 3 | 11,012 | ScaleCache: Scalable and Production-grade Buffer Management for Disk-based Database Systems | 2025 | VLDB |
| 4 | 4,586 | DBCache: Middle-tier Database Caching for Highly Scalable e-Business Architectures | 2003 | SIGMOD |
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| 6 | 7,722 | ChronoCache: Predictive and Adaptive Mid-Tier Query Result Caching | 2020 | SIGMOD |
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| 8 | 4,764 | ReCache: Reactive Caching for Fast Analytics over Heterogeneous Data | 2018 | VLDB |
| 9 | 11,538 | Scalable Time Series Compound Infrastructure | 2022 | SIGMOD |
| 10 | 10,901 | STsCache: An Efficient Semantic Caching Scheme for Time-series Data Workloads Based on Hybrid Storage | 2025 | VLDB |