Research for Energy Optimized Resource Scheduling Algorithm in Cloud Computing Base on Task Endurance Value
Liang Hao, Bo Li, Kai Li, Yican Jin · 2019
In order to reduce the energy consumption of cloud computing systems, the situation of task execution in cloud systems was studied in this paper. When there were large-scale random tasks in the cloud computing system, the concepts of the task endurance value and the relaxation time were introduced, and the task waiting time was reduced by adjusting the task allocation resources. The task endurance value was calculated according to parameters such as the current network importance level of the tasks and the execution time of the tasks in the cloud system. Based on this, a resource scheduling algorithm based on task endurance value was proposed. The experimental results showed that the proposed algorithm could optimize the energy consumption of the cloud computing system.