MOST: Model-Based Compression with Outlier Storage for Time Series Data
Summary: MOST: model-based time-series compression with explicit outlier storage; segments fit linear models for smooth changes. Segment-outlier dual-mode query engine enables segment-wise processing; MOSTDB shows 9.45–15.04x compression and up to 11.68x IoTDB speedups. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zehai Yang (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences)
- 2. Shimin Chen (Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences)
BibTeX Citation
@inproceedings{yang_sigmod23,
title = {{MOST: Model-Based Compression with Outlier Storage for Time Series Data}},
author = {Yang, Zehai and Chen, Shimin},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3626737},
url = {https://dl.acm.org/doi/10.1145/3626737},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,892 | Serf: Streaming Error-Bounded Floating-Point Compression | 2025 | SIGMOD | 5.5210739e-05 |
| 10,189 | Adaptive Outlier Detection over Data Stream | 2026 | SIGMOD | 5.093636e-05 |
| 10,619 | DeXOR: Enabling xor in Decimal Space for Streaming Lossless Compression of Floating-point Data | 2026 | VLDB | 5.093636e-05 |
| 10,923 | Improving Time Series Data Compression in Apache IoTDB | 2025 | VLDB | 5.093636e-05 |
| 10,980 | Beyond Compression: A Comprehensive Evaluation of Lossless Floating-Point Compression | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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