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Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB

Summary: Flux, a cloud-native auto-scaling platform for Alibaba AnalyticDB, decouples scaling for short- and long-running queries via serverless containers. Evaluations show up to 75% RT reduction, 19% higher utilization, and 77.8% lower cost overhead. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6851
Venue
SIGMOD
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,151 | 23.50%
DOI
10.1145/3626246.3653381

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{li_sigmod24,
        title = {{Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB}},
        author = {Li, Wei and Zhang, Jiachi and Yin, Ye and Li, Yan and Zhu, Zhanyang and Zhou, Wenchao and Lin, Liang and Li, Feifei},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626246.3653381},
        url = {https://dl.acm.org/doi/10.1145/3626246.3653381},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
9,943 Eigen+: Memory Over-Subscription for Alibaba Cloud Databases 2025 SIGMOD 5.1915905e-05
10,691 Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB 2025 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

Rank Cited Paper Year Venue Pagerank
30 SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets 2008 VLDB 0.00051174276
66 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00038561587
241 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00023654664
461 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00018068441
1,218 P-Store: An Elastic Database System with Predictive Provisioning 2018 SIGMOD 0.00011621066
2,226 Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless 2022 VLDB 8.9174082e-05
2,563 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.412445e-05
2,958 WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases 2016 VLDB 7.9197796e-05
3,809 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.1074195e-05
4,415 Eigen: End-to-end Resource Optimization for Large-Scale Databases on the Cloud 2023 VLDB 6.7152625e-05
5,148 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 6.3465986e-05
6,673 Database Workload Capacity Planning using Time Series Analysis and Machine Learning 2020 SIGMOD 5.8066637e-05
7,619 AutoToken: Predicting Peak Parallelism for Big Data Analytics at Microsoft 2020 VLDB 5.5810604e-05
11,466 Anser: Adaptive Information Sharing Framework of AnalyticDB 2023 VLDB 5.093636e-05
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