FluxQuery: An Execution Framework for Highly Interactive Query Workloads
Summary: FluxQuery proposes a cyclic scan-based execution model for highly interactive workloads where user intent evolves during query design. It models workload variability and uses cyclic processing to support thousands of concurrent queries with low memory and CPU, delivering interactive response times. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Roee Ebenstein
- 2. Niranjan Kamat
- 3. Arnab Nandi
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,350 | Northstar: An Interactive Data Science System | 2018 | VLDB | 0.00012431059 |
| 1,943 | Procella: Unifying serving and analytical data at YouTube | 2019 | VLDB | 0.00010012569 |
| 5,472 | Guided Exploration of User Groups | 2020 | VLDB | 5.4888146e-05 |
| 5,867 | Combining Design and Performance in a Data Visualization Management System | 2017 | CIDR | 5.296418e-05 |
| 6,627 | Data Tweening: Incremental Visualization of Data Transforms | 2017 | VLDB | 4.9886939e-05 |
| 8,075 | AJoin: Ad-hoc Stream Joins at Scale | 2020 | VLDB | 4.5917655e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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