Cabinet: Dynamically Weighted Consensus Made Fast
Summary: Introduces Cabinet, a dynamically-weighted consensus protocol that assigns and adjusts node weights by responsiveness and failure thresholds to avoid majority-wait bottlenecks. Demonstrates substantial throughput/latency gains over Raft in large, heterogeneous clusters (YCSB/TPC-C). (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Gengrui Zhang (Concordia University)
- 2. Shiquan Zhang (University of Toronto)
- 3. Michail Bachras (University of Toronto)
- 4. Yuqiu Zhang (University of Toronto)
- 5. Hans-Arno Jacobsen (University of Toronto)
BibTeX Citation
@article{zhang_vldb25,
title = {{Cabinet: Dynamically Weighted Consensus Made Fast}},
author = {Zhang, Gengrui and Zhang, Shiquan and Bachras, Michail and Zhang, Yuqiu and Jacobsen, Hans-Arno},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {5},
pages = {1439--1452},
doi = {10.14778/3718057.3718071},
url = {https://doi.org/10.14778/3718057.3718071},
year = {2025}
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Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,881 | Dynamic Voting | 1987 | SIGMOD | 8.0025526e-05 |
| 4,328 | The Tree Quorum Protocol: An Efficient Approach for Managing Replicated Data | 1990 | VLDB | 6.7568642e-05 |
| 4,741 | PigPaxos: Devouring the Communication Bottlenecks in Distributed Consensus | 2021 | SIGMOD | 6.5269811e-05 |
| 7,913 | Efficient Distributed Transaction Processing in Heterogeneous Networks | 2023 | VLDB | 5.5181056e-05 |
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