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Location-Aware Pub/Sub System: When Continuous Moving Queries Meet Dynamic Event Streams

Summary: Elaps is a location-aware pub/sub system for continuous moving queries over dynamic event streams from social media and commerce. Key ideas include impact regions to trigger safe-region updates, a cost model with incremental iGM/idGM safe-region construction, and BEQ-Tree for expressive spatial Boolean matching, achieving real-time, low-overhead dissemination. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5092
Venue
SIGMOD
Year
2015
Pagerank
5.7189999e-05
Overall Rank
7,042 | 51.69%
DOI
10.1145/2723372.2746481

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{guo_sigmod15,
        title = {{Location-Aware Pub/Sub System: When Continuous Moving Queries Meet Dynamic Event Streams}},
        author = {Guo, Long and Zhang, Dongxiang and Li, Guoliang and Tan, Kian-Lee and Bao, Zhifeng},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2746481},
        url = {https://dl.acm.org/doi/10.1145/2723372.2746481},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
4,650 SKYPE: Top-k Spatial-keyword Publish/Subscribe Over Sliding Window 2016 VLDB 6.5863543e-05
8,823 Querying Geo-Textual Data: Spatial Keyword Queries and Beyond 2016 SIGMOD 5.3624668e-05
10,102 Distributed Stream KNN Join 2021 SIGMOD 5.1488731e-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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