DBScholar

Back to papers

Pandora: An Efficient and Rapid Solution for Persistence-Based Tasks in High-Speed Data Streams

Summary: Pandora offers an approximate data structure for persistence-based tasks in high-speed streams, enabling fast persistence detection and estimation under tight memory. It evicts long-absent items to protect persistent ones, provides formal error bounds, SIMD-accelerated updates, and outperforms state-of-the-art on trace-driven data; open-source. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7116
Venue
SIGMOD
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,673 | 26.78%
DOI
10.1145/3709711

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{li_sigmod25,
        title = {{Pandora: An Efficient and Rapid Solution for Persistence-Based Tasks in High-Speed Data Streams}},
        author = {Li, Weihe},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3709711},
        url = {https://dl.acm.org/doi/10.1145/3709711},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 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