Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing
Summary: Cold Filter (CF) is a meta-framework for faster, more accurate approximate stream processing. Captures cold items first, hot items second in a one-direction flow, avoiding inter-stage chatter, delivering up to 4.7x speedup and 51x accuracy gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yang Zhou (Peking University)
- 2. Tong Yang (Peking University)
- 3. Jie Jiang (Peking University)
- 4. Bin Cui (Peking University)
- 5. Minlan Yu (Harvard University)
- 6. Xiaoming Li (Peking University)
- 7. Steve Uhlig (Queen Mary University of London)
BibTeX Citation
@inproceedings{zhou_sigmod18,
title = {{Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing}},
author = {Zhou, Yang and Yang, Tong and Jiang, Jie and Cui, Bin and Yu, Minlan and Li, Xiaoming and Uhlig, Steve},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3183726},
url = {https://dl.acm.org/doi/10.1145/3183713.3183726},
year = {2018}
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