Research and Simulation of Task Scheduling Strategy in Cloud Computing

摘要

How to make full use of resources in the cloud to efficiently schedule tasks is an important issue in the field of cloud computing. This paper proposes a cloud computing task scheduling algorithm based on optimized Differential Evolution Algorithm (DE), which introduces the initial population model based on the Weighted Round-Robin Scheduling Algorithm, and makes the two control parameters of the algorithm adaptively adjust with the iteration number increase. When the task scheduling model is established, considering the user needs and the interests of the cloud provider, the execution time, the execution cost, the resource utilization rate and the execution energy consumption are taken as the scheduling targets. The optimal differential evolution algorithm is used to solve the task model, and an optimal scheduling scheme is obtained. The simulation results show that the improved algorithm can improve the scheduling performance and the effect is better.