Accordion: Balancing Performance and Cost in Cloud-Native Data Analysis with Intra-Query Runtime Elasticity
Summary: Proposes Intra‑Query Runtime Elasticity (IQRE) to adjust a query's degree-of-parallelism during execution, enabling fine-grained latency vs. cost trade-offs in cloud-native OLAP. Presents Accordion, the first IQRE engine with an auto-tuner and interactive UI for manual or automatic intra-query DOP changes. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Xukang Zhang (Renmin University of China)
- 2. Huanchen Zhang (Shanghai Qi Zhi Institute; Tsinghua University)
- 3. Xiaofeng Meng (Renmin University of China)
BibTeX Citation
@article{zhang_vldb25,
title = {{Accordion: Balancing Performance and Cost in Cloud-Native Data Analysis with Intra-Query Runtime Elasticity}},
author = {Zhang, Xukang and Zhang, Huanchen and Meng, Xiaofeng},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5307--5310},
doi = {10.14778/3750601.3750658},
url = {https://doi.org/10.14778/3750601.3750658},
year = {2025}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 241 | Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age | 2014 | SIGMOD | 0.00023654664 |
| 2,344 | Towards Cost-Optimal Query Processing in the Cloud | 2021 | VLDB | 8.7199754e-05 |
| 7,589 | Cost-Intelligent Data Analytics in the Cloud | 2024 | CIDR | 5.5907048e-05 |
| 9,756 | Efficient Query Re-optimization with Judicious Subquery Selections | 2023 | SIGMOD | 5.2258278e-05 |
| 10,768 | Intra-Query Runtime Elasticity for Cloud-Native Data Analysis | 2025 | SIGMOD | 5.093636e-05 |
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