FERARI: A Prototype for Complex Event Processing over Streaming Multi-cloud Platforms
Summary: FERARI is a real-time CEP prototype over streaming multi-clouds, with a web-based query authoring tool, a CEP engine, and a multi-cloud optimizer. It includes a dashboard for event visualization; demonstrated on anonymized telecom data for mobile fraud detection. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Ioannis Flouris
- 2. Vasiliki Manikaki
- 3. Nikos Giatrakos
- 4. Antonios Deligiannakis
- 5. Minos Garofalakis
- 6. Michael Mock
- 7. Sebastian Bothe
- 8. Inna Skarbovsky
- 9. Fabiana Fournier
- 10. Marko Štajcer
- 11. Tomislav Križan
- 12. Jonathan Yom-Tov
- 13. Taji Čurin
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,632 | Complex Event Recognition in the Big Data Era | 2017 | VLDB | 5.3993008e-05 |
| 10,820 | NeuroFlinkCEP: Neurosymbolic Complex Event Recognition Optimized across IoT Platforms | 2025 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 772 | Efficient Pattern Matching over Event Streams | 2008 | SIGMOD | 0.00016790632 |
| 2,828 | Plan-based Complex Event Detection across Distributed Sources | 2008 | VLDB | 8.0545975e-05 |
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