Time Series Representation for Visualization in Apache IoTDB
Summary: Proposes M4-LSM, a chunk-merge-free M4 representation for time-series in LSM-based TSDBs, using chunk metadata and intra-chunk indexing to prune and avoid merges. Implemented in Apache IoTDB; real-data experiments show fast, precise M4 visualization with preserved accuracy. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lei Rui (Tsinghua University)
- 2. Xiangdong Huang (Tsinghua University)
- 3. Shaoxu Song (Beijing Institute of Technology; Tsinghua University)
- 4. Yuyuan Kang (University of Wisconsin)
- 5. Chen Wang (Tsinghua University)
- 6. Jianmin Wang (Beijing Institute of Technology; Tsinghua University)
BibTeX Citation
@inproceedings{rui_sigmod24,
title = {{Time Series Representation for Visualization in Apache IoTDB}},
author = {Rui, Lei and Huang, Xiangdong and Song, Shaoxu and Kang, Yuyuan and Wang, Chen and Wang, Jianmin},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3639290},
url = {https://dl.acm.org/doi/10.1145/3639290},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,463 | Hourglass: An Adaptive Range Filter with Lightweight Hybrid Encoding | 2026 | SIGMOD | 5.2634238e-05 |
| 10,415 | Visualization-Oriented Progressive Time Series Transformation | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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