IoTA-MD

Alves, Marcelo Pitanga; Delicato, Flávia C.; Pires, Paulo F.

doi:10.1145/3019612.3019800

Cited by 11 publications

(4 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Ref. [ 32 ] proposed a framework that encompasses a model-driven approach for applying QoS attributes in the development of the IoT systems. They emphasize the importance of introducing quality attributes such as confidentiality, scalability, reliability, and fault tolerance into the IoT-A modeling process.…”

Section: State Of the Artmentioning

confidence: 99%

IoT-Based Framework for Digital Twins in the Industry 5.0 Era

Awouda,

Traini,

Bruno

et al. 2024

Sensors

View full text Add to dashboard Cite

Digital twins are considered the next step in IoT-based cyber–physical systems; they allow for the real-time monitoring of assets, and they provide a comprehensive understanding of a system behavior, allowing for data-driven insights and informed choices. However, no comprehensive framework exists for the development of IoT-based digital twins. Moreover, the existing frameworks do not consider the aspects introduced by the Industry 5.0 paradigm, such as sustainability, human-centricity, and resilience. This paper proposes a framework based on the one defined as the outcome of a project funded by the European Union between 2010 and 2013 called the IoT Architectural Reference Model (IoT-A or IoT-ARM), with the aim of the development and implementation of a standard IoT framework that includes digital twins. This framework establishes and implements a standardized collection of architectural instruments for modeling IoT systems in the 5.0 era, serving as a benchmark for the design and implementation of an IoT architecture focused on digital twins and enabling the sustainability, resilience, and human-centricity of the information system. Furthermore, a proof of concept of a monitoring digital twin for a vertical farming system has been developed to test the validity of the framework, and a discussion of applications in the manufacturing and service sectors is presented.

show abstract

Section: State Of the Artmentioning

confidence: 99%

IoT-Based Framework for Digital Twins in the Industry 5.0 Era

Awouda,

Traini,

Bruno

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Requerimientos no funcionales comunes en los sistemas IoT. NFR Referencia Interoperabilidad [8], [9], [27]- [31], [10], [14]- [17], [24]-[26] Escalabilidad/Flexibilidad [8], [9], [29]- [33], [10], [14]- [16], [24], [26]-[28] Seguridad [10], [14], [29], [30], [32], [33], [15], [16], [20], [24]-[28] Sensibilidad al entorno [8], [9], [30], [10], [14], [16], [17], [20], [24], [26], [28] Tabla 2. Requerimientos no funcionales para una plataforma IoT en el dominio de Ciudad Inteligente Característica de calidad Aspecto de interés para el sistema…”

Section: Hogar Inteligenteunclassified

Requerimientos no funcionales para sistemas basados en el Internet de las cosas (IoT): Una revisión

Ojo-Gonzalez

Bonilla-Morales

2021

I+D Tecnológico

View full text Add to dashboard Cite

El análisis de los requerimientos es una fase crucial que determina las funcionalidades y propiedades que debe poseer un sistema a desarrollar, realidad a la que no escapan los sistemas que involucran el paradigma del Internet de las cosas (IoT). Este paradigma permite incrementar los niveles de automatización y autonomía de los sistemas y servicios tradicionales, lo que lo ha llevado a ganar presencia rápidamente en diversidad de dominios de aplicación. En este documento se realiza una revisión literaria apoyada con la norma ISO/IEC 25010, para identificar los requerimientos no funcionales prioritarios para cuatro dominios de aplicación: ciudad, hogar, agricultura y fábricas inteligentes; señalando para cada uno los aspectos asociados y atendidos de acuerdo con las características de calidad del producto.

show abstract

“…Modeling and design of cognitive IoT systems has been addressed in [32,33], with focus on reactive, proactive and cognitive behavior and online adaptation of the system, through refinement of the design models. Modeling of non-functional and QoS properties of IoT systems have been addressed in [34,35,36,37].…”

Section: Modeling Of Iot Systems and Servicesmentioning

confidence: 99%