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SSTD: A Distributed System on Streaming Spatio-Textual Data

Summary: SSTD is a distributed in-memory engine for continuous and snapshot spatio-textual stream queries with spatial, textual, and temporal predicates. Its QT (Quad-Text) tree jointly partitions query/data workloads, while adaptive rebalancing maintains throughput and robustness under distribution shifts. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12304
Venue
VLDB
Year
2020
Pagerank
5.093636e-05
Overall Rank
11,797 | 19.07%
DOI
10.14778/3407790.3407825

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@article{chen_vldb20,
        title = {{SSTD: A Distributed System on Streaming Spatio-Textual Data}},
        author = {Chen, Yue and Chen, Zhida and Cong, Gao and Mahmood, Ahmed R. and Aref, Walid G.},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {11},
        pages = {2284--2296},
        doi = {10.14778/3407790.3407825},
        url = {https://doi.org/10.14778/3407790.3407825},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
9,504 Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks 2022 VLDB 5.2585442e-05
11,578 Example-based Spatial Pattern Matching 2022 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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