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.
Highlights
We propose a novel evaluation scheme, which has been called CoKnowEMe, for Internet of Medical Things (IoMT) microservices in accordance with the complex approach suitable for the forthcoming 6G generation, taking into account what this paradigm will introduce in terms of enabling technologies, in particular driving towards more edge intelligent capabilities, such as computing, machine learning and evaluation of quality of services close to the users
From one of the level or from a combination of more than one, can be seen as a resource for the edge nodes that are organized to dynamically and consciously use and reuse the available resources and to create new ones. This approach adds a key point in the design of the edge intelligence since in addition to carrying out services respecting the users’ requirements, making the best use of resources, it enables edge entities to assess the impact of the application on end user in a collective and dynamic way, close to the user itself
We propose an evaluation scheme for IoMT microservices, thought of as lightweight applications at edge level in a future 6G scenario, that takes into consideration three main aspects to assess the quality, the acceptability, the usability and the user experience, modulating the output according to the use context
Summary
For what concerns a global adoption of 5G, especially for low income and middle-income countries, investments for new generation of mobile telecommunication networks and infrastructure could be a crucial factor for economic growth, facilitating education, social cohesion, ideas exchange, access to global information, knowledge and learning. This kind of investment has rapidly become a priority, especially over the last couple of years, because of restrictions due to the COVID-19 pandemic and for this reason we have seen the expansion of 5G in countries across the world with rapid acceleration [2].
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