CoKnowEMe: An Edge Evaluation Scheme for QoS of IoMT Microservices in 6G Scenario

Grazia Veronica Aiosa, Barbara Attanasio, Aurelio La Corte and Marialisa Scatá
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Grazia Veronica Aiosa: Dipartimento di Ingegneria Elettrica, Elettronica ed Informatica (DIEEI), Universitá di Catania, 95125 Catania, Italy
Barbara Attanasio: Dipartimento di Ingegneria Elettrica, Elettronica ed Informatica (DIEEI), Universitá di Catania, 95125 Catania, Italy
Aurelio La Corte: Dipartimento di Ingegneria Elettrica, Elettronica ed Informatica (DIEEI), Universitá di Catania, 95125 Catania, Italy
Marialisa Scatá: Dipartimento di Ingegneria Elettrica, Elettronica ed Informatica (DIEEI), Universitá di Catania, 95125 Catania, Italy

Future Internet, 2021, vol. 13, issue 7, 1-23

Abstract: The forthcoming 6G will attempt to rewrite the communication networks’ perspective focusing on a shift in paradigm in the way technologies and services are conceived, integrated and used. In this viewpoint, the Internet of Medical Things (IoMT) represents a merger of medical devices and health applications that are connected through networks, introducing an important change in managing the disease, treatments and diagnosis, reducing costs and faults. In 6G, the edge intelligence moves the innovative abilities from the central cloud to the edge and jointly with the complex systems approach will enable the development of a new category of lightweight applications as microservices. It requires edge intelligence also for the service evaluation in order to introduce the same degree of adaptability. We propose a new evaluation model, called CoKnowEMe (context knowledge evaluation model), by introducing an architectural and analytical scheme, modeled following a complex and dynamical approach, consisting of three inter-operable level and different networked attributes, to quantify the quality of IoMT microservices depending on a changeable context of use. We conduct simulations to display and quantify the structural complex properties and performance statistical estimators. We select and classify suitable attributes through a further detailed procedure in a supplementary information document.

Keywords: 6G networks; QoS; Evaluation Systems; Internet of Medical Things; Edge Intelligence; microservices (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2021
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