摘要
随着数据库系统的普及和因特网服务的扩张,已有的技术很难满足电力信息系统数据时代的数据分析需求.本文以面向融合云计算环境的数据为表达载体,在此基础上提出了面向融合云计算环境的电力信息系统数据最优上云算法.借助于云计算环境的方法为此类电力信息系统的相关数据构建了对应的抽象模型,之后在该数据基础上进行电力信息系统数据库服务器中间备库搭建,从理论上证明了文中给出的电力信息系统数据合并技术和样本数据重构方法的合理性.实验表明:与典型DS-means相比,文中所提的最优上云算法不仅能大幅度地减少网络节点间的通讯代价,还能提升平均10%左右的全局上云精度.
With the popularization of database system and the expansion of Internet services,it is difficult to meet the data analysis requirements in the power information system data era with the existing technologies.In this paper,an optimized algorithm on cloud for power information system data based on the fusion of cloud computing environment is proposed with cloud computing environment fusion oriented data as the expression vector.The method for cloud computing environment is used to construct a corresponding abstract model for the relevant data of such power information system.Subsequently,the power information system database server intermediate reserve database is established based on the data to provides theoretical verification of the rationality of the proposed power information system data integration technology and the sample data reconstruction method.The experiment shows that:Compared with the typical DS-means,the optimal algorithm on cloud proposed in the paper can not only greatly reduce the communication cost between network nodes,but also improve the global accuracy on cloud by about 10% on average.
作者
田园
TIAN Yuan(Yunnan Power Grid Co.,Ltd Information Centre ,Kunming Yunnan,650200)
出处
《自动化与仪器仪表》
2018年第12期75-79,共5页
Automation & Instrumentation
关键词
电力信息系统数据
数据上云
云计算环境
power information system data
data on clouds
cloud computing environment
