RT journal article
T1 CEPEDALoCo: An event-driven architecture for integrating complex event processing and blockchain through low-code
A1 Rosa Bilbao, Jesús
A1 Boubeta Puig, Juan
A1 Rutle, Adrian
A2 Ingeniería Informática
K1 Air quality
K1 Blockchain
K1 Complex event processing
K1 Event-driven architecture
K1 Internet of Things
K1 Low-code
AB Internet of Things (IoT) is made up of millions of devices generating large amounts of heterogeneous data from multiple sources. These devices can be from multiple manufacturers which makes their use in terms of data acquisition, processing, analysis and actions on these data challenging. Additionally, all these data must be analyzed and correlated in real time for the early detection of situations of interest (complex events) and subsequent decision making. These complex events must be able to automatically trigger decisions and be stored in a secure, immutable and accessible way. In this context, Event-Driven Applications (EDAs) are a solution to meet these needs, however, developing such applications requires vast knowledge in certain technologies. To address these challenges, an EDA is proposed in this paper to integrate Complex Event Processing (CEP) and blockchain through the low-code paradigm. This proposal allows for the development of EDAs in a user-friendly way. These applications make it possible to integrate IoT devices from multiple manufacturers and with different data formats together with CEP technology for complex event detection and blockchain for secure, immutable and accessible event storage. To demonstrate the feasibility, the architecture was applied and evaluated in a case study related to measuring and acting on air quality using IoT devices that measure different pollutants and factors such as temperature, humidity and wind. The results show that the graphically designed EDAs facilitate the real-time analysis of the collected IoT data via a CEP engine, whose outcome is transparently and automatically registered in a blockchain network.
PB Elsevier
SN 2542-6605
YR 2023
FD 2023-05-02
LK http://hdl.handle.net/10498/28927
UL http://hdl.handle.net/10498/28927
LA eng
NO This work was partly supported by grant PID2021-122215NB-C33 (AwESOMe) funded by MCIN/AEI/10.13039/501100011033/ and ERDF “A way to do Europe”, by grant P20_00865 (DECISION) funded by the Andalusian Plan for Research, Development and Innovation and ERDF , and by grant EST2023-011 funded by the Research Plan from the University of Cadiz 2022–2023, Spain . We would like to thank Javier Berrocal for recommending the purchase of Netatmo sensors. Jesús Rosa-Bilbao would also like to thank the Department of Computer Science, Electrical Engineering and Mathematical Sciences for their hospitality when visiting them at Western Norway University of Applied Sciences, Bergen, Norway, where part of this work was developed.
DS Repositorio Institucional de la Universidad de Cádiz
RD 20-may-2026