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Accelerating Analytical Processing in MVCC using Fine-Granular High-Frequency Virtual Snapshotting

Summary: HTAP MVCC with hybrid processing: OLAP on fine-grained virtual snapshots; OLTP uses the latest version. Introduces vm_snapshot, a custom system call for ultra-fast snapshots; 100x faster than fork, up to 4x OLAP speedup, and higher OLTP throughput. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5612
Venue
SIGMOD
Year
2018
Pagerank
6.5727393e-05
Overall Rank
4,675 | 67.93%
DOI
10.1145/3183713.3196904

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{sharma_sigmod18,
        title = {{Accelerating Analytical Processing in MVCC using Fine-Granular High-Frequency Virtual Snapshotting}},
        author = {Sharma, Ankur and Schuhknecht, Felix Martin and Dittrich, Jens},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3196904},
        url = {https://dl.acm.org/doi/10.1145/3183713.3196904},
        year = {2018}
}

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