基于云计算的电力系统突发性数据处理任务调度方法

Cloud computing based scheduling method for sudden data processing in power system

为降低电网企业数据中心的调度错失率,提高调度任务完成率,提出基于云计算的电力系统突发性数据处理任务调度方法。设计电网企业数据中心云平台存储数据,包括云计算信息服务层、云计算基础平台层、虚拟化基础设施层,基于云计算调度算法构建虚拟机资源调度模型,确定需要调度的数据节点和虚拟机。通过构建约束函数,选取最优调度链路,提高调度数据传输效率。及时调整云任务计算长度,更新虚拟机性能参数,传输电网企业数据,实现基于云计算的电力系统突发性数据处理任务调度。对比实验结果表明,设计方法可以有效地分配节点负载,在任务完成时间和完成率上优势明显,平均调度错失率在0.05%以下,调度任务完成率在88%以上,为我国电力大数据信息平台的研究提供参考和借鉴。

In order to reduce the scheduling error rate of power grid enterprise data center and improve the scheduling task completion rate,a scheduling method of power system sudden data processing task based on cloud computing is proposed.The cloud platform of grid enterprise data center is designed to store data,including cloud computing information service layer,cloud computing basic platform layer and virtualization infrastructure layer.Based on cloud computing scheduling algorithm,the virtual machine resource scheduling model is constructed,the data nodes and virtual machines need to be scheduled are determined.By constructing constraint function,the optimal scheduling link is selected,and the scheduling data transmission efficiency is improved.the computing length of cloud task is adjusted in time,and the virtual environment is updated Machine performance parameters,transmission of power grid enterprise data,implementation of power system sudden data processing task scheduling based on cloud computing.The experimental results show that the design method can effectively distribute the node load,and has obvious advantages in task completion time and completion rate.The average scheduling error rate is less than 0.05%,and the scheduling task completion rate is above 88%.It provides reference and reference for the research of power big data information platform in China.