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Tornado: A Distributed Spatio-Textual Stream Processing System

Summary: Tornado extends Storm with an adaptive spatio-textual indexing layer that dynamically balances processing under shifting data and query distributions. It additionally supports semantic concept matching, deduplication/fusion, and real-time continuous or snapshot queries over Twitter streams. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
11296
Venue
VLDB
Year
2015
Pagerank
5.5429908e-05
Overall Rank
7,794 | 46.53%
DOI
10.14778/2824032.2824126

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{mahmood_vldb15,
        title = {{Tornado: A Distributed Spatio-Textual Stream Processing System}},
        author = {Mahmood, Ahmed R. and Aly, Ahmed M. and Qadah, Thamir and Rezig, El Kindi and Daghistani, Anas and Madkour, Amgad and Abdelhamid, Ahmed S. and Hassan, Mohamed S. and Aref, Walid G. and Basalamah, Saleh},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        pages = {2020--2023},
        doi = {10.14778/2824032.2824126},
        url = {https://doi.org/10.14778/2824032.2824126},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

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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.

Rank Cited Paper Year Venue Pagerank
2,794 A Demonstration of SpatialHadoop: An Efficient MapReduce Framework for Spatial Data 2013 VLDB 8.1167671e-05
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