Automated Discovery of CEP Applications with Evolutionary Computing
Paper i proceeding, 2025

Complex event processing (CEP) is key for detecting patterns in digital systems (e.g., smart grids and vehicular networks) through platforms like Apache Flink CEP that decouple application logic from distributed execution in cloud-to-edge infrastructures. Yet, a barrier remains: system experts can identify relevant patterns but often lack programming skills to implement CEP applications, limiting effective use.We present a preliminary study on using evolutionary computation to automate CEP application discovery from data. Experts provide examples of relevant event sequences for an evolutionary algorithm to evolve applications to detect similar patterns. Initial results are promising and highlight CEP-related challenges that open new research directions.

Complex Event Processing; Evolutionary Computing

Författare

Giulio Appetito

Universita degli Studi di Roma Tor Vergata

Eric Medvet

Universita degli Studi di Trieste

Vincenzo Massimiliano Gulisano

Chalmers, Data- och informationsteknik, Dator- och nätverkssystem

Debs 2025 Proceedings of the 19th ACM International Conference on Distributed and Event Based Systems

33-38
9798400713323 (ISBN)

19th ACM International Conference on Distributed and Event-Based Systems, DEBS 2025
Gothenburg, Sweden,

Relaxed Semantics Across the Data Analytics Stack (RELAX-DN)

Europeiska kommissionen (EU) (EC/HE/101072456), 2023-03-01 -- 2027-03-01.

Ämneskategorier (SSIF 2025)

Programvaruteknik

Datavetenskap (datalogi)

Styrkeområden

Energi

DOI

10.1145/3701717.3730548

Mer information

Senast uppdaterat

2025-08-22