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Cognition Based Fog layer to Mitigate the challenges of Real-Time Medical Applications

Medical and healthcare applications in human life stand as two main things supporting scientific and technological development. Healthcare information systems have been dominated for decades by the existing Cloud technology. However, in cloud computing applications for healthcare systems there exists limitations like high-speed response time in fetching the patient data for providing a quick decision, and delay which acts as a high-risk factor in the patient’s life. To solve the difficulties, fog computing is handled between the edge and cloud in the data center. Fog computing serves as an intermediary platform for delivering cloud services to network endpoints. For rapid service time, end devices can reach specified fog nodes in the fog layer. This study describes the architectural framework for a fog layer-assisted web of real-time healthcare applications and also justifies the limitations of the fog layer in applications in the medical field.