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)
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Authors
- 1. Subhodeep Ghosh (New Jersey Institute of Technology)
- 2. Zhihui Du (New Jersey Institute of Technology)
- 3. Angela Bonifati (Institut Universitaire de France; University Claude Bernard Lyon 1)
- 4. Manish Kumar (Indian Institute of Technology Ropar)
- 5. David Bader (New Jersey Institute of Technology)
- 6. Senjuti Basu Roy (New Jersey Institute of Technology)
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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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,163 | Responsible Data Management | 2020 | VLDB | 0.00011709266 |
| 2,762 | Processing Sliding Window Multi-Joins in Continuous Queries over Data Streams | 2003 | VLDB | 8.025285e-05 |
| 7,611 | Rank Aggregation with Proportionate Fairness | 2022 | SIGMOD | 5.4678616e-05 |
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