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NashDB: An End-to-End Economic Method for Elastic Database Fragmentation, Replication, and Provisioning

Summary: NashDB uses an adaptive economic model to jointly balance fragmentation, replication, and provisioning in elastic data clusters. It delivers automatic data fragmentation, replication, placement, transitioning, and cluster sizing guided by workload priorities, minimizes transfer overhead, and is Pareto-dominant over baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5643
Venue
SIGMOD
Year
2018
Pagerank
6.3753956e-05
Overall Rank
5,072 | 65.21%
DOI
10.1145/3183713.3196935

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{marcus_sigmod18,
        title = {{NashDB: An End-to-End Economic Method for Elastic Database Fragmentation, Replication, and Provisioning}},
        author = {Marcus, Ryan and Papaemmanouil, Olga and Semenova, Sofiya and Garber, Solomon},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3196935},
        url = {https://dl.acm.org/doi/10.1145/3183713.3196935},
        year = {2018}
}

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