基于网格技术的电力营销信息私有云存储方法研究

Research on Private Cloud Storage Method of Power Marketing Information Based on Grid Technology

电力营销信息均采用报文文件或数据库形式实施存储,其容量以指数级上升,造成信息故障条件下备份不及时,导致存储效率下降,为此研究基于网格技术的电力营销信息私有云存储方法。通过网格系统管理节点和网格公共服务节点提供网格基础服务,利用本地资源服务器和企业网格应用服务提供网格应用服务。以模型中各服务器节点为基础,通过负载预测流程调节虚拟机用量;利用镜像备份流程恢复故障条件下虚拟机数据。模型利用最长路径匹配法,基于元数据逻辑搜索、定位元数据子表,管理电力营销信息元数据。实验结果表明,电力营销信息存储过程中不同虚拟机负载均低于40%,且各虚拟机负载基本一致,说明该方法可增强信息存储过程中的堵在均衡性,提升存储效率。

The power marketing information is stored in the form of message file or database,which rises exponentially.Under the condition of information failure,the backup is not timely,which leads to the decline of storage efficiency.This paper studies the private cloud storage method of power marketing information based on grid technology.Grid basic services are provided by grid system management nodes and grid public service nodes,and grid application services are provided by local resource servers and enterprise grid application services.Based on each server node in the model,the virtual machine consumption is adjusted through the load forecasting process,and the virtual machine data under fault condition are recovered by using the mirror backup process.The model uses the longest path matching method to search and locate the metadata sub-tables based on metadata logic,and manage the metadata of electric power marketing information.The experimental results show that the load of different virtual machines is less than 40%in the process of power marketing information storage,and the load of each virtual machine is basically similar,which shows that this method can enhance the congestion balance in the information storage process and improve the storage efficiency.