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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
5.0362412e-05
Overall Rank
10,319 | 30.65%
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 0.00055384955
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041210636
361 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00020000855
681 Amazon Redshift Re-invented 2022 SIGMOD 0.0001482366
932 Starling: A Scalable Query Engine on Cloud Functions 2020 SIGMOD 0.00013002837
1,158 Toward a Progress Indicator for Database Queries 2004 SIGMOD 0.00011767292
1,588 Estimating Progress of Execution for SQL Queries 2004 SIGMOD 0.00010137374
1,605 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 0.00010095581
1,764 Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure 2020 SIGMOD 9.6959345e-05
2,139 Quickstep: A Data Platform Based on the Scaling-Up Approach 2018 VLDB 8.9735524e-05
2,213 Towards Cost-Optimal Query Processing in the Cloud 2021 VLDB 8.817248e-05
2,833 Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings 2020 SIGMOD 7.9539771e-05
3,565 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.200937e-05
3,835 Presto: A Decade of SQL Analytics at Meta 2023 SIGMOD 6.9899256e-05
3,948 Deploying a Steered Query Optimizer in Production at Microsoft 2022 SIGMOD 6.9051584e-05
4,391 Self-Tuning Query Scheduling for Analytical Workloads 2021 SIGMOD 6.6196806e-05
4,501 ByteGraph: A High-Performance Distributed Graph Database in ByteDance 2022 VLDB 6.5715206e-05
4,531 BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse 2024 SIGMOD 6.5557817e-05
4,668 Intelligent Scaling in Amazon Redshift 2024 SIGMOD 6.4768105e-05
4,677 AutoSteer: Learned Query Optimization for Any SQL Database 2023 VLDB 6.4721041e-05
5,043 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 6.2979214e-05
5,110 Steering Query Optimizers: A Practical Take on Big Data Workloads 2021 SIGMOD 6.2678118e-05
5,291 PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba 2023 SIGMOD 6.1915052e-05
5,507 Magnet: Push-based Shuffle Service for Large-scale Data Processing 2020 VLDB 6.0989657e-05
5,939 StreamOps: Cloud-Native Runtime Management for Streaming Services in ByteDance 2023 VLDB 5.9378976e-05
7,163 Cost-Intelligent Data Analytics in the Cloud 2024 CIDR 5.5935766e-05
8,170 Efficient Query Re-optimization with Judicious Subquery Selections 2023 SIGMOD 5.3827384e-05
9,169 Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning 2023 SIGMOD 5.2139049e-05
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