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AutoGR: Automated Geo-Replication with Fast System Performance and Preserved Application Semantics

Summary: AutoGR automatically geo-replicates serializable applications while preserving their original semantics, eliminating programmer-supplied invariants. Its Rigi analyzer uses path/side-effect conflict analysis with Z3 to drive coordination, achieving substantially lower latency and higher throughput than strong-consistency automation. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12527
Venue
VLDB
Year
2021
Pagerank
5.4574671e-05
Overall Rank
8,261 | 43.33%
DOI
10.14778/3461535.3461541

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wang_vldb21,
        title = {{AutoGR: Automated Geo-Replication with Fast System Performance and Preserved Application Semantics}},
        author = {Wang, Jiawei and Li, Cheng and Ma, Kai and Huo, Jingze and Yan, Feng and Feng, Xinyu and Xu, Yinlong},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {9},
        pages = {1517--1530},
        doi = {10.14778/3461535.3461541},
        url = {https://doi.org/10.14778/3461535.3461541},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,126 Event Horizon: Asymmetric Dependencies for Fast Geo-Distributed Operations 2026 CIDR 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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