Containerized Execution of UDFs: An Experimental Evaluation
Summary: First study spanning containerized UDF life cycle, bottlenecks, and cross-engine extensibility for arbitrary-language UDFs. Binary-based communication cuts overhead (>2.4x vs text); Arrow Flight near-native speeds; start-up times 0.07–7s. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Karla Saur (Microsoft)
- 2. Tara Mirmira (University of California San Diego)
- 3. Konstantinos Karanasos (Meta)
- 4. Jesús Camacho-Rodríguez (Microsoft)
BibTeX Citation
@article{saur_vldb22,
title = {{Containerized Execution of UDFs: An Experimental Evaluation}},
author = {Saur, Karla and Mirmira, Tara and Karanasos, Konstantinos and Camacho-Rodríguez, Jesús},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {3158--3171},
doi = {10.14778/3551793.3551860},
url = {https://doi.org/10.14778/3551793.3551860},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,847 | Biathlon: Harnessing Model Resilience for Accelerating ML Inference Pipelines | 2024 | VLDB | 5.5330423e-05 |
| 8,193 | Towards Building Autonomous Data Services on Azure | 2023 | SIGMOD | 5.4696038e-05 |
| 9,127 | Databricks Lakeguard: Supporting Fine-grained Access Control and Multi-user Capabilities for Apache Spark Workloads | 2025 | SIGMOD | 5.3189314e-05 |
| 10,057 | AnyBlox: A Framework for Self-Decoding Datasets | 2025 | VLDB | 5.1664022e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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