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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Jiatang Zhou
- 2. Kaisong Huang
- 3. Zhuoyue Zhao
- 4. Dong Xie
- 5. Tianzheng Wang
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 2,866 | Priority in DBMS Resource Scheduling | 1989 | VLDB | 7.9935931e-05 |
| 3,225 | Interleaving with Coroutines: A Practical Approach for Robust Index Joins | 2018 | VLDB | 7.3487507e-05 |
| 4,382 | HTAP Databases: What is New and What is Next | 2022 | SIGMOD | 6.2318984e-05 |
| 5,060 | The Art of Latency Hiding in Modern Database Engines | 2024 | VLDB | 5.7175345e-05 |
| 9,237 | Low-Latency Transaction Scheduling via Userspace Interrupts: Why Wait or Yield When You Can Preempt? | 2025 | SIGMOD | 4.3648789e-05 |
Previous
Page 1 / 1
Next