IoMT-Cloud Task Scheduling Using AI

The internet of medical things (IoMT) empowers patients to get adaptable, and virtualized gear over the internet. Task scheduling is most fundamental problem in IoMT-cloud since cloud execution commonly relies on it. Thus, a proposition being made for distinct technique suitably meet these solicitations. To manage issue, an artificial intelligence (AI) method known as hybrid genetic algorithm (HGA) proposed. proposed AI will be justified by contrasting it with other traditional optimization approaches. CloudSim utilized quantify its effect various parameters like time, resource utilization, cost, throughput. enhanced viability task better rate 32.47 ms reduced time 40.16 ms. experimented outcomes show that HGA reduces cost well profoundly.