IA-CPS: Intelligent architecture for cyber-physical systems management

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Title: IA-CPS: Intelligent architecture for cyber-physical systems management
Authors: Duque Gómez, Henry | Garcia-Rodriguez, Jose | Azorin-Lopez, Jorge | Tomás, David | Fuster-Guilló, Andrés | Mora, Higinio
Research Group/s: Arquitecturas Inteligentes Aplicadas (AIA) | Procesamiento del Lenguaje y Sistemas de Información (GPLSI)
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Keywords: Cyber-physical systems | Internet of things | Service-oriented architecture | Event-driven architecture | Complex event processing | Microservices architecture
Knowledge Area: Arquitectura y Tecnología de Computadores | Lenguajes y Sistemas Informáticos
Issue Date: 25-Jun-2021
Publisher: Elsevier
Citation: Journal of Computational Science. 2021. https://doi.org/10.1016/j.jocs.2021.101409
Abstract: Nowadays, the emergence of large-scale and highly distributed cyber-physical systems (CPSs) in applications including Internet of things (IoT), cloud computing, mobility, Big Data, and sensor networks involves that architecture models have to work in an open and highly dynamic world. This fact increasingly highlights the importance of designing real-time and intelligent CPSs that are capable of decision making. In this paper, an Intelligent Architecture model for CPS management (IA-CPS) based on online processing is proposed for this purpose. Specifically, it can manage simple and complex events based on a service-oriented architecture and directed by an event-driven architecture, using event processing technology as Complex Event Processing (CEP). The novelty of our approach relies on the fact that the proposed architecture is service-oriented, which models the functionalities of the event-driven system. This gives us the possibility to offer a flexible service catalog, allowing us to connect to the system on any kind of device and interact in different scenarios. The model has been applied to two use cases: processing images from video surveillance cameras, and processing of consumption data captured by water and energy sensors installed in end-user environments.
Sponsor: This work was funded by the Spanish Government PID2019-104818RB-I00 grant for the MoDeaAS project and TIN2017-89069-R for Tech4Diet project, supported by Feder funds.
URI: http://hdl.handle.net/10045/116150
ISSN: 1877-7503 (Print) | 1877-7511 (Online)
DOI: 10.1016/j.jocs.2021.101409
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2021 Elsevier B.V.
Peer Review: si
Publisher version: https://doi.org/10.1016/j.jocs.2021.101409
Appears in Collections:INV - GPLSI - Artículos de Revistas
INV - AIA - Artículos de Revistas

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