Avaliação e implementação de arquitetura distribuída para disponibilização de serviços de telemedicina em computação em borda.

Abstract

Telemedicine has emerged as an essential alternative for delivering healthcare services remotely, particularly during health crises such as the COVID-19 pandemic. However, traditional infrastructure faces challenges in managing the increasing demand, requiring solutions that provide low latency and high availability. Edge computing offers a promising approach by bringing processing closer to end users, enhancing efficiency and reducing latency. This work presents the evaluation and implementation of a distributed architecture based on edge computing to enable the dynamic provisioning of telemedicine services, focusing on virtual consultations and AI-assisted diagnostics. The proposed architecture integrates virtualized service orchestration technologies, facilitating the management of microservices and the dyna-mic allocation of resources. A proof-of-concept implementation and evaluation are carried out using Kubernetes to manage the services, ensuring a scalable and resilient system. The results demonstrate that edge computing can optimize telemedicine services, delivering higher-quality care.