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
- 2. Xi Liang
- 3. Dixin Tang
- 4. Cong Ding
- 5. Aaron J. Elmore
- 6. Sanjay Krishnan
- 7. Michael J. Franklin
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,788 | Proteus: Autonomous Adaptive Storage for Mixed Workloads | 2022 | SIGMOD | 4.9207259e-05 |
| 8,714 | Tiresias: Enabling Predictive Autonomous Storage and Indexing | 2022 | VLDB | 4.457682e-05 |
| 9,027 | CrocodileDB in Action: Resource-Efficient Query Execution by Exploiting Time Slackness | 2020 | VLDB | 4.4011428e-05 |
| 9,459 | Sharing Opportunities for OLTP Workloads in Different Isolation Levels | 2020 | VLDB | 4.3340981e-05 |
| 10,586 | Agamotto: Scheduling of Deadline-Oriented Incremental Query Execution under Uncertain Resource Price | 2025 | VLDB | 4.1905499e-05 |
| 11,024 | SeLeP: Learning Based Semantic Prefetching for Exploratory Database Workloads | 2024 | VLDB | 4.1905499e-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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| 8,858 | Automatic Contention Detection and Amelioration for Data-Intensive Operations | 2010 | SIGMOD | 4.4302008e-05 |
| 4,075 | Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads | 2013 | VLDB | 6.4699689e-05 |
| 9,720 | Adaptive Energy-Control for In-Memory Database Systems | 2018 | SIGMOD | 4.2924268e-05 |
| 5,210 | Self-Tuning Query Scheduling for Analytical Workloads | 2021 | SIGMOD | 5.6244961e-05 |
| 9,027 | CrocodileDB in Action: Resource-Efficient Query Execution by Exploiting Time Slackness | 2020 | VLDB | 4.4011428e-05 |