Research on Task Allocation and Resource Scheduling Method in Cloud Environment

Abstract

Task allocation and resource scheduling capability are important indicators for evaluating cloud environment. Aiming at the problems of low resource utilization, high algorithm time complexity and low task allocation efficiency of existing task allocation strategies, a task allocation and resource scheduling method based on dynamic programming in cloud environment is proposed. Using the idea of dynamic programming, this method regards the matching of tasks and servers as a combination of multi-stage decision-making, and obtains the optimization scheme of task allocation, which reduces the completion time of tasks. The experimental results show that the proposed method can reduce the task completion time and the resource load is relatively balanced, which can effectively improve the task execution efficiency.