Leveraging Fog Computing for Task Offloading in IoT Networks: A Focus on Deadline and Computation Demand Management

Abstract

Efficient task offloading to fog nodes (FNs) is crucial in Internet of Things (IoT)-fog systems to tackle the problems of high computing demands and stringent deadlines of IoT tasks. In order to optimize task offloading, this study proposes a model DCTO (deadline and computation demand-based task offloading) that makes use of fog computing (FC). The goals of DCTO are to minimize the overall offloading delay, energy usage. The model suggested, ensures a fair distribution of tasks across available FNs integrating efficient decision-making algorithm by controlling task’s computing demand and their deadline. The proposed approach’s effectiveness is compared with First-Come-First-Serve (FCFS), RANDOM algorithm, Deadline-based algorithm (DA) and confirmed by extensive simulations, which show notable improvements over traditional methods from the perspective of offloading delay, energy efficiency as well.