DBScholar

Back to papers

Online Deduplication for Databases

Summary: dbDedup is a similarity-based online dedup scheme for DBMSs using byte-level delta encoding of records. Single-pass encoding integrates with storage and oplog, delivering up to 37x storage and 61x replication reductions with negligible throughput. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5366
Venue
SIGMOD
Year
2017
Pagerank
6.3982122e-05
Overall Rank
5,021 | 65.56%
DOI
10.1145/3035918.3035938

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{xu_sigmod17,
        title = {{Online Deduplication for Databases}},
        author = {Xu, Lianghong and Pavlo, Andrew and Sengupta, Sudipta and Ganger, Gregory R.},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3035938},
        url = {https://dl.acm.org/doi/10.1145/3035918.3035938},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers