Sharp: Shared State Reduction for Efficient Matching of Sequential Patterns
Summary: Sharp tackles best-effort sequential pattern matching under tight latency by exploiting cross-pattern state sharing, rather than optimizing each pattern in isolation. PSD indexes partial matches and enables constant-time cost-based pruning when deadlines are hit, yielding high recall across CEP/OLAP/RAG workloads. (summarized by gpt-5.4-mini on Apr 12 2026)
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Authors
- 1. Cong Yu
- 2. Tuo Shi
- 3. Matthias Weidlich
- 4. Bo Zhao
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