Modified sorted prioritisation-based task scheduling in cloud computing

Cloud computing is commonly used to provide internet-based, pay-per-use, self-service access to scalable, on-demand computing resources. Task scheduling is a major difficulty in this approach for cost efficiency and resource usage. Task scheduling optimises computing activities to save expenses and resource consumption. MSPTS is a new scheduling method introduced in this paper. Modified sorted prioritisation-based task scheduling in cloud computing improves resource allocation and efficiency with sophisticated algorithms. MSPTS sorts jobs and resources by priority and property to improve task scheduling. MSPTS chooses the best resource for each job based on resource wait time, task processing time, and task priority. This approach optimises task execution and resource allocation, enhancing system performance. The MSPTS method was compared to other scheduling algorithms using CloudSim tools, a popular cloud simulation tool, to evaluate its efficacy. MSPTS greatly outperforms standard scheduling algorithms in various areas, according to experiments. MSPTS improves makespan, cost efficiency, and resource use. These data suggest that MSPTS is a better cloud computing task scheduling solution, improving performance and resource management.