A Hybrid Approach for Allocating Resources and Scheduling Task in Cloud Computing

Without cloud computing, technology today would not function. Task planning and resource distribution play a significant role in cloud computing. This research suggests utilizing a hybrid strategy to schedule tasks and distribute resources. Each job in this manner goes through an MAHP process before being allocated to cloud resources. The suggested system also employs LEPT preemption to stop resource-intensive tasks. When measured by turnaround time and response time, respectively, experimental results show that the suggested system performs better than the current BATS and improved differential evolution algorithm (IDEA) frameworks, demonstrating that the divide-and-conquer strategy is responsible for the improvement.