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RAMP-TAO: Layering Atomic Transactions on Facebook's Online TAO Data Store

Summary: RAMP-TAO layers read atomicity onto Facebook’s highly available, read-optimized TAO without sacrificing scalability. A production-feasible RAMP variant prevents partial multi-partition update visibility, addressing measured anomalies (1/1,500 batched reads) with minimal overhead. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12696
Venue
VLDB
Year
2021
Pagerank
6.2952027e-05
Overall Rank
5,262 | 63.90%
DOI
10.14778/3476311.3476379

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cheng_vldb21,
        title = {{RAMP-TAO: Layering Atomic Transactions on Facebook's Online TAO Data Store}},
        author = {Cheng, Audrey and Shi, Xiao and Pan, Lu and Simpson, Anthony and Wheaton, Neil and Lawande, Shilpa and Bronson, Nathan and Bailis, Peter and Crooks, Natacha and Stoica, Ion},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {12},
        pages = {3014--3027},
        doi = {10.14778/3476311.3476379},
        url = {https://doi.org/10.14778/3476311.3476379},
        year = {2021}
}

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