Asymmetric-Partition Replication for Highly Scalable Distributed Transaction Processing in Practice
Summary: Asymmetric-partition replication enables replica partitioning from the primary to scale OLTP/OLAP workloads, enables a distributed secondary index, and supports online re-partitioning. Optimistic synchronous commit avoids 2PC while preserving consistency; proven in SAP HANA with strong gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Juchang Lee (SAP)
- 2. Hyejeong Lee (SAP)
- 3. Seongyun Ko (Pohang University of Science and Technology)
- 4. Kyu Hwan Kim (SAP)
- 5. Mihnea Andrei (SAP)
- 6. Friedrich Keller (SAP)
- 7. Wook-Shin Han (Pohang University of Science and Technology)
BibTeX Citation
@article{lee_vldb20,
title = {{Asymmetric-Partition Replication for Highly Scalable Distributed Transaction Processing in Practice}},
author = {Lee, Juchang and Lee, Hyejeong and Ko, Seongyun and Kim, Kyu Hwan and Andrei, Mihnea and Keller, Friedrich and Han, Wook-Shin},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {3112--3124},
doi = {10.14778/3415478.3415538},
url = {https://doi.org/10.14778/3415478.3415538},
year = {2020}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,670 | Replicated Layout for In-Memory Database Systems | 2022 | VLDB | 5.8074043e-05 |
| 11,298 | Native Distributed Databases: Problems, Challenges and Opportunities | 2024 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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