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A Role-Based Software Architecture to Support Mobile Service Computing in IoT Scenarios.
Finochietto, Mariano; Eggly, Gabriel M; Santos, Rodrigo; Orozco, Javier; Ochoa, Sergio F; Meseguer, Roc.
Afiliação
  • Finochietto M; GIDI, Department of Information Technology, Universidad Nacional de Mar del Plata, Mar del Plata 7600, Argentina.
  • Eggly GM; SpinalCom, 91400 Orsay, France.
  • Santos R; Department of Electrical and Computers, Universidad Nacional del Sur, ICIC-CONICET, Bahía Blanca 8000, Argentina.
  • Orozco J; Department of Electrical and Computers, Universidad Nacional del Sur, ICIC-CONICET, Bahía Blanca 8000, Argentina.
  • Ochoa SF; Department of Electrical and Computers, Universidad Nacional del Sur, ICIC-CONICET, Bahía Blanca 8000, Argentina.
  • Meseguer R; Computer Science Department, Universidad de Chile, Santiago 8370456, Chile.
Sensors (Basel) ; 19(21)2019 Nov 05.
Article em En | MEDLINE | ID: mdl-31694148
The interaction among components of an IoT-based system usually requires using low latency or real time for message delivery, depending on the application needs and the quality of the communication links among the components. Moreover, in some cases, this interaction should consider the use of communication links with poor or uncertain Quality of Service (QoS). Research efforts in communication support for IoT scenarios have overlooked the challenge of providing real-time interaction support in unstable links, making these systems use dedicated networks that are expensive and usually limited in terms of physical coverage and robustness. This paper presents an alternative to address such a communication challenge, through the use of a model that allows soft real-time interaction among components of an IoT-based system. The behavior of the proposed model was validated using state machine theory, opening an opportunity to explore a whole new branch of smart distributed solutions and to extend the state-of-the-art and the-state-of-the-practice in this particular IoT study scenario.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Argentina País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Argentina País de publicação: Suíça