CrocodileDB: Efficient Database Execution through Intelligent Deferment
Summary: Introduces CrocodileDB, a resource-efficient DB that trades eagerness for intelligent deferment to reduce wasted computation as CPU growth slows. Combines declarative timing specs, workload-predictive execution policies, novel schedulers and deferred data-loading to maximize reuse. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zechao Shang (University of Chicago)
- 2. Xi Liang (University of Chicago)
- 3. Dixin Tang (University of Chicago)
- 4. Cong Ding (Peking University)
- 5. Aaron J. Elmore (University of Chicago)
- 6. Sanjay Krishnan (University of Chicago)
- 7. Michael J. Franklin (University of Chicago)
BibTeX Citation
@inproceedings{shang_cidr20,
address = {Amsterdam, Netherlands},
series = {{CIDR} '20},
title = {{CrocodileDB: Efficient Database Execution through Intelligent Deferment}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Shang, Zechao and Liang, Xi and Tang, Dixin and Ding, Cong and Elmore, Aaron J. and Krishnan, Sanjay and Franklin, Michael J.},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,598 | Proteus: Autonomous Adaptive Storage for Mixed Workloads | 2022 | SIGMOD | 5.7405915e-05 |
| 8,872 | Tiresias: Enabling Predictive Autonomous Storage and Indexing | 2022 | VLDB | 5.2584643e-05 |
| 9,320 | CrocodileDB in Action: Resource-Efficient Query Execution by Exploiting Time Slackness | 2020 | VLDB | 5.1946265e-05 |
| 9,782 | Sharing Opportunities for OLTP Workloads in Different Isolation Levels | 2020 | VLDB | 5.1296539e-05 |
| 11,248 | Agamotto: Scheduling of Deadline-Oriented Incremental Query Execution under Uncertain Resource Price | 2025 | VLDB | 4.9793485e-05 |
| 11,568 | SeLeP: Learning Based Semantic Prefetching for Exploratory Database Workloads | 2024 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 30 of 30 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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