A Geometric Approach to Monitoring Threshold Functions Over Distributed Data Streams
Summary: Geometric approach to monitoring threshold functions over distributed streams. Global task split into per-stream constraints filtering updates, enabling scalable monitoring of arbitrary thresholds; experiments on real data validate scalability. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Izchak Sharfman (Technion 6 Israel Institute of Technology)
- 2. Assaf Schuster (Technion 6 Israel Institute of Technology)
- 3. Daniel Keren (University of Haifa)
BibTeX Citation
@inproceedings{sharfman_sigmod06,
title = {{A Geometric Approach to Monitoring Threshold Functions Over Distributed Data Streams}},
author = {Sharfman, Izchak and Schuster, Assaf and Keren, Daniel},
series = {{SIGMOD} '06},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1142473.1142508},
url = {https://dl.acm.org/doi/10.1145/1142473.1142508},
year = {2006}
}
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