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Distance-based Outlier Query Optimization in Apache IoTDB

Summary: Optimizes distance-based outlier queries in IoTDB’s LSM-tree storage, where late arrivals create overlapping files. Bucket statistics derive neighbor-count bounds across buckets/files, enabling pruning under varied distance, count, window, and slide parameters. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
13686
Venue
VLDB
Year
2024
Pagerank
5.3414033e-05
Overall Rank
8,973 | 38.44%
DOI
10.14778/3681954.3681962

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{su_vldb24,
        title = {{Distance-based Outlier Query Optimization in Apache IoTDB}},
        author = {Su, Yunxiang and Song, Shaoxu and Huang, Xiangdong and Wang, Chen and Wang, Jianmin},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {11},
        pages = {2778--2790},
        doi = {10.14778/3681954.3681962},
        url = {https://doi.org/10.14778/3681954.3681962},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,189 Adaptive Outlier Detection over Data Stream 2026 SIGMOD 5.093636e-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.

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