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Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB

Summary: Flux provides a unified cluster manager for heterogeneous accelerators (FPGAs/GPUs) in Alibaba AnalyticDB. An acceleration-priority score guides a priority-based workload manager and unified scheduler to optimize performance and TCO, achieving 4.39x speedup, 21.9% user TCO reduction, and 47% provider TCO reduction. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hbf2b07ef9b04528b
Venue
SIGMOD
Year
2025
Pagerank
4.9793485e-05
Overall Rank
11,127 | 25.19%
DOI
10.1145/3722212.3724438

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@inproceedings{li_sigmod25,
        title = {{Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB}},
        author = {Li, Wei and Zhang, Jiachi and Yin, Ye and Li, Yan and Zhu, Zhanyang and Li, Yuhao and Peng, Zhencan and Lu, Lan and Zhou, Wenchao and Lin, Liang and Li, Feifei},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3722212.3724438},
        url = {https://dl.acm.org/doi/10.1145/3722212.3724438},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 23 of 23 cited papers.

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

Rank Cited Paper Year Venue Pagerank
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041219077
215 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00024598661
680 Amazon Redshift Re-invented 2022 SIGMOD 0.00014828697
1,268 A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics 2020 SIGMOD 0.0001126007
1,747 HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines 2019 VLDB 9.7335416e-05
1,839 Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet 2024 VLDB 9.5304799e-05
2,202 Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores 2015 VLDB 8.8719608e-05
2,283 CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service 2014 VLDB 8.6961837e-05
2,484 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.3993882e-05
2,600 Robust Query Processing in Co-Processor-accelerated Databases 2016 SIGMOD 8.2363864e-05
3,106 SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures 2016 SIGMOD 7.6428848e-05
3,316 Cloud Analytics Benchmark 2023 VLDB 7.4373161e-05
3,508 Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures 2023 VLDB 7.2490197e-05
3,563 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.2042148e-05
3,888 Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS 2022 VLDB 6.945725e-05
4,199 Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources 2017 VLDB 6.7410637e-05
4,666 Intelligent Scaling in Amazon Redshift 2024 SIGMOD 6.479878e-05
4,825 DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning 2024 VLDB 6.3923554e-05
5,394 Towards a Hybrid Design for Fast Query Processing in DB2 with BLU Acceleration Using Graphical Processing Units: A Technology Demonstration 2016 SIGMOD 6.1497789e-05
7,209 Hardware Acceleration of Compression and Encryption in SAP HANA 2022 VLDB 5.5845533e-05
7,523 Workload Placement on Heterogeneous CPU-GPU Systems 2024 VLDB 5.5025409e-05
8,217 Enabling Transparent Acceleration of Big Data Frameworks Using Heterogeneous Hardware 2022 VLDB 5.3763878e-05
11,499 Flux: Decoupled Auto-Scaling for Heterogeneous Query Workload in Alibaba AnalyticDB 2024 SIGMOD 4.9793485e-05
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