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Intra-Query Runtime Elasticity for Cloud-Native Data Analysis

Summary: IQRE enables intra-query dynamic DOP adjustment for cloud-native OLAP, lowering compute cost. Accordion, IQRE engine, reconfigures parallelism on-the-fly without halting data, with an auto-tuner and what-if service, built atop Presto. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h9e065f2c6313a831
Venue
SIGMOD
Year
2025
Pagerank
5.0386264e-05
Overall Rank
10,309 | 30.69%
DOI
10.1145/3725315

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod25,
        title = {{Intra-Query Runtime Elasticity for Cloud-Native Data Analysis}},
        author = {Zhang, Xukang and Zhang, Huanchen and Meng, Xiaofeng},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3725315},
        url = {https://dl.acm.org/doi/10.1145/3725315},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 28 of 28 cited papers.

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

Rank Cited Paper Year Venue Pagerank
23 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00055406774
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041219077
362 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019989474
680 Amazon Redshift Re-invented 2022 SIGMOD 0.00014828697
932 Starling: A Scalable Query Engine on Cloud Functions 2020 SIGMOD 0.00013008551
1,159 Toward a Progress Indicator for Database Queries 2004 SIGMOD 0.00011771949
1,587 Estimating Progress of Execution for SQL Queries 2004 SIGMOD 0.0001014156
1,603 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 0.00010097649
1,763 Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure 2020 SIGMOD 9.7003359e-05
2,137 Quickstep: A Data Platform Based on the Scaling-Up Approach 2018 VLDB 8.9777553e-05
2,213 Towards Cost-Optimal Query Processing in the Cloud 2021 VLDB 8.8206114e-05
2,834 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 7.9560627e-05
3,563 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.2042148e-05
3,835 Presto: A Decade of SQL Analytics at Meta 2023 SIGMOD 6.9931698e-05
3,949 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 6.9052796e-05
4,388 Self-Tuning Query Scheduling for Analytical Workloads 2021 SIGMOD 6.6228033e-05
4,499 ByteGraph: A High-Performance Distributed Graph Database in ByteDance 2022 VLDB 6.5746329e-05
4,530 BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse 2024 SIGMOD 6.5588866e-05
4,666 Intelligent Scaling in Amazon Redshift 2024 SIGMOD 6.479878e-05
4,683 AutoSteer: Learned Query Optimization for Any SQL Database 2023 VLDB 6.4716143e-05
5,041 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 6.3006152e-05
5,110 Steering Query Optimizers: A Practical Take on Big Data Workloads 2021 SIGMOD 6.269351e-05
5,288 PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba 2023 SIGMOD 6.1944376e-05
5,504 Magnet: Push-based Shuffle Service for Large-scale Data Processing 2020 VLDB 6.1018427e-05
5,939 StreamOps: Cloud-Native Runtime Management for Streaming Services in ByteDance 2023 VLDB 5.9407099e-05
7,160 Cost-Intelligent Data Analytics in the Cloud 2024 CIDR 5.5962258e-05
8,164 Efficient Query Re-optimization with Judicious Subquery Selections 2023 SIGMOD 5.3852872e-05
9,161 Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning 2023 SIGMOD 5.2154395e-05
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