Analytics Are Heavy. The DBMS Is Busy. When Will My Mission-Critical Transaction Start Running?
Summary: PreemptDB shows preemptive scheduling is practical in modern memory-optimized DBMSs by combining optimistic CC with new x86 userspace interrupts for low-overhead, user-interrupt-driven context switches. Demo: prioritized scheduling cuts latency of short, mission-critical transactions while preserving throughput and fairness versus non‑preemptive systems. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Jiatang Zhou (Simon Fraser University)
- 2. Kaisong Huang (Simon Fraser University)
- 3. Zhuoyue Zhao (State University of New York at Buffalo)
- 4. Dong Xie (Pennsylvania State University)
- 5. Tianzhen Wang (Simon Fraser University)
BibTeX Citation
@article{zhou_vldb25,
title = {{Analytics Are Heavy. The DBMS Is Busy. When Will My Mission-Critical Transaction Start Running?}},
author = {Zhou, Jiatang and Huang, Kaisong and Zhao, Zhuoyue and Xie, Dong and Wang, Tianzhen},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5299--5302},
doi = {10.14778/3750601.3750656},
url = {https://doi.org/10.14778/3750601.3750656},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 2,819 | Priority in DBMS Resource Scheduling | 1989 | VLDB | 8.0922349e-05 |
| 2,890 | Interleaving with Coroutines: A Practical Approach for Robust Index Joins | 2018 | VLDB | 7.9880033e-05 |
| 3,762 | HTAP Databases: What is New and What is Next | 2022 | SIGMOD | 7.1449267e-05 |
| 4,440 | The Art of Latency Hiding in Modern Database Engines | 2024 | VLDB | 6.7049797e-05 |
| 8,840 | Low-Latency Transaction Scheduling via Userspace Interrupts: Why Wait or Yield When You Can Preempt? | 2025 | SIGMOD | 5.3589906e-05 |
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