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DQSim: Does the Task Assignment Slow Down Your Distributed Database System?

Summary: DQSim formalizes distributed task scheduling and simulates query execution, enabling rapid evaluation of schedulers without modifying a database system. Its NetHEFT and cCEFT algorithms cut latency by over 2× in challenging scenarios. (summarized by gpt-6-luna on Oct 22 2026)

Paper ID
h665ab08002cab5e2
Venue
SIGMOD
Year
2027
Pagerank
4.9605343e-05
Overall Rank
10,391 | 30.35%
DOI
10.1145/3837106
PDF
Download (CC BY 4.0)

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Authors

BibTeX Citation

@inproceedings{rieger_sigmod27,
        title = {{DQSim: Does the Task Assignment Slow Down Your Distributed Database System?}},
        author = {Rieger, Maximilian and Neumann, Thomas},
        series = {{SIGMOD} '27},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3837106},
        url = {https://dl.acm.org/doi/10.1145/3837106},
        year = {2027}
}

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Showing 26 of 26 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
21 Efficiently Compiling Efficient Query Plans for Modern Hardware 2011 VLDB 0.00056737487
23 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00055523999
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041439488
375 Umbra: A Disk-Based System with In-Memory Performance 2020 CIDR 0.00019660459
453 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001801482
651 Amazon Redshift Re-invented 2022 SIGMOD 0.00015126716
928 The End of Slow Networks: It's Time for a Redesign 2016 VLDB 0.00013012601
1,025 High-Speed Query Processing over High-Speed Networks 2016 VLDB 0.00012396134
1,687 POLARIS: The Distributed SQL Engine in Azure Synapse 2020 VLDB 9.8500167e-05
2,025 Query Optimization in Microsoft SQL Server PDW 2012 SIGMOD 9.1520946e-05
2,162 Towards Cost-Optimal Query Processing in the Cloud 2021 VLDB 8.9192007e-05
2,619 Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction 2022 VLDB 8.1985665e-05
2,910 ClickHouse - Lightning Fast Analytics for Everyone 2024 VLDB 7.8621757e-05
2,993 Parallel Query Scheduling and Optimization with Time- and Space-Shared Resources 1997 VLDB 7.7579154e-05
3,055 Eon Mode: Bringing the Vertica Columnar Database to the Cloud 2018 SIGMOD 7.6896798e-05
3,328 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.4094448e-05
3,860 Deployment of Query Plans on Multicores 2015 VLDB 6.9512283e-05
3,909 SQLStorm: Taking Database Benchmarking into the LLM Era 2025 VLDB 6.9127576e-05
4,058 Exploiting Cloud Object Storage for High-Performance Analytics 2023 VLDB 6.8134824e-05
4,797 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 6.3978116e-05
4,833 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 6.3834856e-05
7,483 T3: Accurate and Fast Performance Prediction for Relational Database Systems With Compiled Decision Trees 2025 SIGMOD 5.5007125e-05
9,243 CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics 2025 VLDB 5.1864799e-05
9,350 On-Demand State Separation for Cloud Data Warehousing 2022 VLDB 5.1762083e-05
9,393 Optimal Semijoin Schedules For Query Processing In Local Distributed Database Systems 1981 SIGMOD 5.1677187e-05
10,045 Agile-Ant: Self-managing Distributed Cache Management for Cost Optimization of Big Data Applications 2024 VLDB 5.0786422e-05
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