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)
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Authors
- 1. Weihe Li (University of Edinburgh)
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}
}
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