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Heracles: An Efficient Storage Model and Data Flushing for Performance Monitoring Timeseries

Summary: Heracles: shared-timestamp storage for compression and cross-metric queries, with a two-level epoch memory manager enabling gradual, queryable flushing. On Prometheus tsdb: 171% throughput, 32% latency reduction, 30% space savings; beats LevelDB and Parquet. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12486
Venue
VLDB
Year
2021
Pagerank
5.9088937e-05
Overall Rank
6,336 | 56.54%
DOI
10.14778/3447689.3447710

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wang_vldb21,
        title = {{Heracles: An Efficient Storage Model and Data Flushing for Performance Monitoring Timeseries}},
        author = {Wang, Zhiqi and Xue, Jin and Shao, Zili},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {6},
        pages = {1080--1092},
        doi = {10.14778/3447689.3447710},
        url = {https://doi.org/10.14778/3447689.3447710},
        year = {2021}
}

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