Priority-based Cloud-Fog Architecture for Smart Healthcare Systems

With the change of lifestyle of society and increased use of IoT based equipment's in the healthcare system, various applications had knocked in modern healthcare facilities and medical data processing at the ground level. So many smart devices like watches, smart bands, mobiles and other wearable sensors are available in market to monitor the health status on regular basis. With the escalation of consumption of these smart devices, large amount of data is being generated which has led to surge in data processing load on data centers. It has posed various challenges such as data traffic, network utilization, power consumption and latency. In this paper, the priority scheduling was compared with non-priority scheduling in cloud and fog systems. The system's performance was tested in terms of energy consumption and network utilization. The results were validated with use of different data sets acquired from sensors and fog devices. iFogSim simulation tool was used for this purpose. The results also demonstrated effect of increasing the number of sensors and fog devices on network utilization and energy consumption in cloud-fog environment.