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LPStream: Fine-grained Lazy Provenance for Stream Processing

Summary: LPStream introduces fine-grained lazy provenance for stream processing, avoiding runtime provenance overhead. When needed, it replays from a suitable checkpoint to generate provenance, outperforming eager provenance and no-provenance baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7519
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,320 | 29.20%
DOI
10.1145/3749172

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BibTeX Citation

@inproceedings{yamada_sigmod26,
        title = {{LPStream: Fine-grained Lazy Provenance for Stream Processing}},
        author = {Yamada, Masaya and Kitagawa, Hiroyuki and Shaikh, Salman Ahmed and Amagasa, Toshiyuki and Matono, Akiyoshi},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3749172},
        url = {https://dl.acm.org/doi/10.1145/3749172},
        year = {2026}
}

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