iRASA: Fog Scheduling With Congregation of MVO and PSO

Internet of Things (IoT) can be most accurately conceptualized as a network connecting billions of individual transmission entities all ready to either share or receive data in any and all plausible situations. Among the prevalent implementations in the networking genre of IoT include cloud, fog, and edge computing models. Although each pair has their own lights and shadows, given the contemporary scenario, fog computing models seem to gain the most relevance among others. The pivot of the work presented in this paper is the optimization of fog task scheduling through an improved Resource Utilisation Algorithm (iRASA), which uses the congregation of Multiverse optimisation (MVO) and Particle Swarm optimisation (PSO), in achieving the aforementioned objective. The suggested algorithm has been contrasted with individual performances of PSO and MVO in task scheduling along with that of a generic scheduler in cases of fixed as well as variable numbers of VMs. The results obtained show that the suggested approach surpasses its counterparts in minimizing makespan and simultaneously enhancing throughput as well as resource utilization.