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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)

Paper ID
h1b6fe6b4f3808e0e
Venue
SIGMOD
Year
2016
Pagerank
5.9783397e-05
Overall Rank
5,829 | 60.81%
DOI
10.1145/2882903.2882945

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ebenstein_sigmod16,
        title = {{FluxQuery: An Execution Framework for Highly Interactive Query Workloads}},
        author = {Ebenstein, Roee and Kamat, Niranjan and Nandi, Arnab},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2882945},
        url = {https://dl.acm.org/doi/10.1145/2882903.2882945},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
1,409 Northstar: An Interactive Data Science System 2018 VLDB 0.00010743451
1,423 Procella: Unifying serving and analytical data at YouTube 2019 VLDB 0.00010719956
6,162 Guided Exploration of User Groups 2020 VLDB 5.8644841e-05
6,634 Data Tweening: Incremental Visualization of Data Transforms 2017 VLDB 5.7264653e-05
6,647 Combining Design and Performance in a Data Visualization Management System 2017 CIDR 5.7217042e-05
8,014 AJoin: Ad-hoc Stream Joins at Scale 2020 VLDB 5.4070928e-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.

Rank Cited Paper Year Venue Pagerank
14 MonetDB/X100: Hyper-Pipelining Query Execution 2005 CIDR 0.00064031282
53 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00040860054
57 On Random Sampling over Joins 1999 SIGMOD 0.00040108301
135 Ripple Joins for Online Aggregation 1999 SIGMOD 0.00029866033
200 Continuously Adaptive Continuous Queries over Streams 2002 SIGMOD 0.000254553
518 Query by Output 2009 SIGMOD 0.00016944862
667 SharedDB: Killing One Thousand Queries With One Stone 2012 VLDB 0.00014978213
968 Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management 2013 SIGMOD 0.00012782051
1,431 Approximate Join Processing Over Data Streams 2003 SIGMOD 0.00010681774
1,796 Dynamic Pipeline Scheduling for Improving Interactive Query Performance 2001 VLDB 9.6193021e-05
1,918 Predictable Performance for Unpredictable Workloads 2009 VLDB 9.3789552e-05
2,605 dbTouch: Analytics at your Fingertips 2013 CIDR 8.229938e-05
2,719 TPC-DS, Taking Decision Support Benchmarking to the Next Level 2002 SIGMOD 8.0967665e-05
3,003 Gestural Query Specification 2014 VLDB 7.7645915e-05
3,091 Parallel Query Scheduling and Optimization with Time- and Space-Shared Resources 1997 VLDB 7.6578995e-05
3,727 Memory-Limited Execution of Windowed Stream Joins 2004 VLDB 7.0696489e-05
4,011 Deployment of Query Plans on Multicores 2015 VLDB 6.8573269e-05
5,898 Crescando 2010 SIGMOD 5.954735e-05
7,011 SnapToQuery: Providing Interactive Feedback during Exploratory Query Specification 2015 VLDB 5.6218692e-05
8,391 Query Expansion Based on Clustered Results 2011 VLDB 5.3411574e-05
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