| 摘要: |
| 随着电力行业数据的持续增长，云环境下电力调度消耗的能量越来越多，加剧了能源危机和环境污染。在电力云平台架构的基础上，提出一种基于云计算的电力任务节能调度算法。将虚拟机分配给具有最优性能功率比的节点进行处理，通过迁移虚拟机实现资源整合。通过仿真将该调度算法与节能虚拟机调度节点算法和改进型最佳拟合递减算法进行比较。仿真结果表明，在不显著降低效率的情况下，该方法可以节能10%以上。该研究为云环境下最优电力调度方法的发展提供了一定的参考和借鉴。 |
| 关键词: 云计算 资源整合 调度算法 虚拟机 电力数据 |
| DOI：DOI: 10.19783/j.cnki.pspc.201104 |
| 投稿时间：2020-09-09修订日期：2020-10-29 |
| 基金项目:国家电网公司科技项目资助(5212S0170002) |
|
| Research on power task energy saving scheduling method in cloud computing environment |
| ZHANG Hao |
| (State Grid Huangshan Power Supply Company, Tunxi 245000, China) |
| Abstract: |
| With the continuous growth of power industry data, more and more energy is consumed by power dispatching in cloud environment, which aggravates the energy crisis and environmental pollution. Based on the power cloud platform architecture, this paper proposes a power task energy-saving scheduling algorithm based on cloud computing. The virtual machine is assigned to the node with the optimal performance power ratio, and the resource integration is realized by migrating the virtual machine. Through simulation, the scheduling algorithm is compared with the energy-saving virtual machine scheduling node algorithm and the improved best fit decline algorithm. The simulation results show that this method can save more than 10% energy without significantly reducing the efficiency. This study provides a reference for the development of optimal power dispatching method in cloud environment.
This work is supported by the Science and Technology Project of State Grid Corporation of China (No. 5212S0170002). |
| Key words: cloud computing resource integration scheduling algorithm virtual machine power data |
