Complete Event Trend Detection in High-Rate Event Streams
Summary: Introduces the CET graph to compactly encode all Complete Event Trends matched by a query in high-rate streams. Time-centric graphlets with cached partial CETs enable reuse; a cost-monotone optimizer prunes plans under memory limits, yielding up to 42× speedup vs prior methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Olga Poppe
- 2. Chuan Lei
- 3. Salah Ahmed
- 4. Elke A. Rundensteiner
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Semantically Similar Papers
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|---|---|---|---|---|
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| 259 | High-Performance Complex Event Processing over Streams | 2006 | SIGMOD | 0.00030174924 |
| 6,396 | GRETA: Graph-based Real-time Event Trend Aggregation | 2018 | VLDB | 5.0824714e-05 |
| 7,318 | Efficient Adaptive Detection of Complex Event Patterns | 2018 | VLDB | 4.7638874e-05 |
| 4,457 | Real-Time Multi-Pattern Detection over Event Streams | 2019 | SIGMOD | 6.1702339e-05 |
| 5,097 | Join Query Optimization Techniques for Complex Event Processing Applications | 2018 | VLDB | 5.7011496e-05 |
| 776 | Efficient Pattern Matching over Event Streams | 2008 | SIGMOD | 0.00016799754 |
| 5,489 | To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams | 2021 | SIGMOD | 5.4782335e-05 |
| 2,031 | On Complexity and Optimization of Expensive Queries in Complex Event Processing | 2014 | SIGMOD | 9.7377256e-05 |