BEZERRA, M. M.; http://lattes.cnpq.br/0074144311563450; BEZERRA, Marcus Marinho.
Resumo:
The implementation of immersive and intelligent technologies, such as augmented real
ity (AR) and artificial intelligence (AI), is crucial in customizing medical services, enabling
precise diagnostics and individualized treatments within the context of Health 4.0 and the
Internet of Things (IoT). In emergency scenarios, the application of advanced technologies
in ambulances, including telehealth, rapid diagnostics, and real-time vital data transmission,
is essential. These technologies enhance support for first responders and are capable of
reducing response times in emergency care. However, this integration faces complex chal
lenges, such as limitations in computational resources and the autonomy of mobile devices,
where edge computing emerges as an alternative to meet the requirements of these applica
tions. Nevertheless, the continuous transfer of services between servers, due to the mobility
of ambulances, introduces additional challenges due to variations in network latency and
bandwidth, as well as the need for optimization of computational resource utilization. Thus,
in this thesis work, a method for the dynamic provisioning of critical services is presented.
Experiments to validate a Proof of Concept demonstrate that the method can meet specific
requirements for latency, transmission rate, computational resource optimization, and mo
bility, enabling optimal allocation.