摘要
以电力企业大数据平台中信息系统主机、网络、中间件及Oracle数据库等运行关键指标数据为依托,借助大数据分析技术,通过建立模型、制定流程、选取参数等一系列方法,从海量的数据中挖掘数据的规律,归纳数据的特征,分析不同类别的主机资源价值并提供相应的主机资源分配策略,使得主机资源分配更加合理化,从而提高信息系统运行稳定性。
This article is based on key indicators, including host, network, middleware and Oracle database of information system in electric power enterprise big data platform. By means of large data analysis technology, a series of＂ methods such as model establishment, process planning, parameter selection and so on are established, the article aims to discover the rules from the mass of data in data mining, sum up the characteristics of data, analyses the value of different types of host resources and provide a host of corresponding resource allocation strategy, in order to make the host resource allocation mute reasonable, to improve the stability of information system.
出处
《电力大数据》
2017年第10期74-77,共4页
Power Systems and Big Data
关键词
大数据
主机
价值
分析
big data
host
value
analysis
