Improving the QoS of Fog Nodes Using Delay Sensitive Task Offloading

Fog computing is an extension of cloud computing where services are provided at the edge of a network. With the growth of the Internet of Things (IoTs) different applications are emerging. Many of these applications are delay sensitive that demand better reliability. Different task scheduling algorithms were proposed to manage such applications under fog computing environments. Still, it is difficult to meet the required latency requirements of applications with existing algorithms. Therefore, in this paper, a delay sensitive offloading algorithm is proposed that considers two different criteria during scheduling – the expected deadline of a given task and the computational capability of nodes. The effectiveness of the proposed algorithm is evaluated by using two typical working scenarios of fog nodes where comparative analysis with two popular task offloading algorithms have been made. The overall result shows that the proposed algorithm can provide as much as 37% improvement in the average response time of tasks in IoT applications.