Lotus: Scalable Multi-Partition Transactions on Single-Threaded Partitioned Databases
Summary: Lotus rehabilitates H-Store/VoltDB’s RCST concurrency control, improving multi-partition throughput with little single-partition cost. MEST multiplexes MP execution to hide network stalls, achieving up to 21× higher SP throughput and robustness to stragglers. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xinjing Zhou (Massachusetts Institute of Technology)
- 2. Xiangyao Yu (University of Wisconsin)
- 3. Goetz Graefe (Google)
- 4. Michael Stonebraker (Massachusetts Institute of Technology)
BibTeX Citation
@article{zhou_vldb22,
title = {{Lotus: Scalable Multi-Partition Transactions on Single-Threaded Partitioned Databases}},
author = {Zhou, Xinjing and Yu, Xiangyao and Graefe, Goetz and Stonebraker, Michael},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2939--2952},
doi = {10.14778/3551793.3551843},
url = {https://doi.org/10.14778/3551793.3551843},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,381 | Pasha: An Efficient, Scalable Database Architecture for CXL Pods | 2025 | CIDR | 5.4377136e-05 |
| 9,345 | Practical DB-OS Co-Design with Privileged Kernel Bypass | 2025 | SIGMOD | 5.284891e-05 |
| 10,782 | Styx: Transactional Stateful Functions on Streaming Dataflows | 2025 | SIGMOD | 5.093636e-05 |
| 10,798 | Wait and See: A Delayed Transactions Partitioning Approach in Deterministic Database Systems for Better Performance | 2025 | SIGMOD | 5.093636e-05 |
| 11,247 | Spectrum: Speedy and Strictly-Deterministic Smart Contract Transactions for Blockchain Ledgers | 2024 | VLDB | 5.093636e-05 |
| 11,454 | R3: Record-Replay-Retroaction for Database-Backed Applications | 2023 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 27 of 27 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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