Asymmetric Linearizable Local Reads
Summary: Shows existing linearizable local-read algorithms incur worst-case read latency ≥ network relative diameter minus the known min message delay; proves this limitation. Introduces two algorithms exploiting asymmetric message delays to give processes near the leader/center worst-case reads below the relative diameter, with up to 50× reduction in experiments. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Myles Thiessen (University of Toronto)
- 2. Guy Khazma (University of Toronto)
- 3. Sam Toueg (University of Toronto)
- 4. Eyal de Lara (University of Toronto)
BibTeX Citation
@article{thiessen_vldb25,
title = {{Asymmetric Linearizable Local Reads}},
author = {Thiessen, Myles and Khazma, Guy and Toueg, Sam and de Lara, Eyal},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {8},
pages = {2427--2439},
doi = {10.14778/3742728.3742738},
url = {https://doi.org/10.14778/3742728.3742738},
year = {2025}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 144 | Megastore: Providing Scalable, Highly Available Storage for Interactive Services | 2011 | CIDR | 0.00029554682 |
| 3,666 | Harmonia: Near-Linear Scalability for Replicated Storage with In-Network Conflict Detection | 2020 | VLDB | 7.2142119e-05 |
| 3,683 | Enabling the Next Generation of Multi-Region Applications with CockroachDB | 2022 | SIGMOD | 7.2035148e-05 |
| 7,916 | Nezha: Deployable and High-Performance Consensus Using Synchronized Clocks | 2023 | VLDB | 5.5181056e-05 |
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