Software architecture for IoT-based health-care systems with cloud/fog service model

Pervasive Healthcare systems are breeding rapidly and distributed systems such as fog, cloud, and IoT have made it possible for these systems to scale extensively with a certain need to sustain interoperability, reliability, availability, and response time. Notwithstanding those remarkable efforts that have been conducted for the architecting of such systems, there is a certain obligation toward the design of an architecture for the domain to constitute the aforementioned requirements. Our goal in this paper is to present a software architecture for IoT-based healthcare systems to address the above-mentioned non-functional requirements that include best practices of IoT, Fog, and Cloud planes. The proposed architecture is illustrated with 4 + 1 views and graph transformation is used to transform the models and expressing operational semantics. The architecture tradeoff analysis method is applied to evaluate different scenarios and both formal verifications and trade-off analysis proved the eligibility and competence of the proposed architecture.