HYPERSONIC: A Hybrid Parallelization Approach for Scalable Complex Event Processing
Summary: HYPERSONIC: a hybrid parallelization for scalable CEP on real-time streams, with layered parallelism and fine-grained load balancing. Experiments on datasets show 100x–1000x throughput gains, lower latency, beating state-of-the-art CEP parallelization. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Maor Yankovitch (Technion)
- 2. Ilya Kolchinsky (Technion)
- 3. Assaf Schuster (Technion)
BibTeX Citation
@inproceedings{yankovitch_sigmod22,
title = {{HYPERSONIC: A Hybrid Parallelization Approach for Scalable Complex Event Processing}},
author = {Yankovitch, Maor and Kolchinsky, Ilya and Schuster, Assaf},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517829},
url = {https://dl.acm.org/doi/10.1145/3514221.3517829},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,171 | DecoPa: Query Decomposition for Parallel Complex Event Processing | 2024 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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