DBScholar

Back to papers

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)

Paper ID
14327
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
11,029 | 24.34%
DOI
10.14778/3750601.3750656

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

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)

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.

Previous Page 1 / 1 Next

Semantically Similar Papers