Optimized Resource Allocation Algorithm for IoT Healthcare Model with Deadline Aware

In recent years, healthcare market is growing very fast and dealing with huge amount of data. Healthcare applications are time sensitive which needs quick responses with lesser delays. For this aim, fog computing (FC) was introduced. It can be applied in various application areas like healthcare, smart and intelligent environments, VANETs, etc. Technologies as cloud computing (CC), FC, and Internet of things (IoT) can be used to provide an effective environment for sharing data between customers efficiently. Fog is an extension of cloud which can overcome the latency issues in case of huge amount of data are generated. Reducing the number of delays and increasing the system efficiency is the real motivation of using FC in healthcare. In this paper we have proposed a Task Classification algorithm based on Deadline and Criticality (TCDC) for healthcare applications in fog environment. The simulation results showed that proposed algorithm can improve the performance and QoS parameters.