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CoBLOC - Continuous Block Level Fairness on Data Streams

Summary: CoBLOC introduces block-level fairness for sliding-window streams, exposing short-term group disparities missed by window-level guarantees. Its sketch-based monitor and principled stream reordering enforce fairness online, with interactive explanations and landmark-size recommendations. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID
h8bd5b89d3dc47a96
Venue
VLDB
Year
2026
Pagerank
4.9793485e-05
Overall Rank
10,985 | 26.15%
DOI
10.14778/3827998.3828091

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BibTeX Citation

@article{ghosh_vldb26,
        title = {{CoBLOC - Continuous Block Level Fairness on Data Streams}},
        author = {Ghosh, Subhodeep and Du, Zhihui and Bonifati, Angela and Kumar, Manish and Bader, David and Roy, Senjuti Basu},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {12},
        pages = {4662--4665},
        doi = {10.14778/3827998.3828091},
        url = {https://doi.org/10.14778/3827998.3828091},
        year = {2026}
}

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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
1,162 Responsible Data Management 2020 VLDB 0.00011753159
2,753 Processing Sliding Window Multi-Joins in Continuous Queries over Data Streams 2003 VLDB 8.0549317e-05
7,588 Rank Aggregation with Proportionate Fairness 2022 SIGMOD 5.4886e-05
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