查看文章

The IoT devices with advanced computational powers supported by Artificial Intelligence (AI) in diversified application domains require infrastructures that can deliver resources and computational services based on application needs. Fog computing has emerged as a platform for applications that can provide flexible and shared computational capabilities to such delay-sensitive services along with maintaining network availability, minimum latency, and Quality of Service (QoS) maximization. The proposed model offers the adaptive offloading of the applications while achieving the maximum QoS in a delay-constrained service environment. Moreover, to minimize the resource starvation condition, a probabilistic application task scheduler algorithm is presented, which considers the task’s initial priority and deadline. The tasks within waiting queues are assigned new priorities and used to select the most relevant task …