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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)

Paper ID
12383
Venue
VLDB
Year
2020
Pagerank
5.3246805e-05
Overall Rank
9,102 | 37.56%
DOI
10.14778/3415478.3415538

Incoming Non-self Citations Over Time

Authors

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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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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