基于互联网大数据资源智能调整优化

Intelligent Adjustment and Optimization of Resources Based on Internet Big Data

通过使用网络爬虫工具在网络运行数据中自动提取以网元为关键字的信息,匹配各网元地理位置分布、网元告警、关键KPI、网元下用户感知等网络基础信息,实时更新;通过互联网大数据分析工具IBM SPSS MODELER,将爬虫获取数据进行数据分析处理流,利用预先在MODELER中根据相关规则编写数据处理流,智能输出资源优化建议。如扩/减容方案、RF优化方案及站址调整或天面整合等方案,指导日常优化工作。

Jiangsu Unicom uses the network crawler tool to automatically extract the information of the network element as the keyword in the network running data. It matches the network basic information such as geographic location distribution,network warning,key KPI,and user perception under the network element,and updates it in real time. Through the Internet big data analysis tool IBM SPSS MODELER,the data obtained by crawlers enters the data analysis and processing stream. Using the flow of data analysis and processing written according to the relevant rules in advance in MODELER,the intelligent output resource optimization proposal is put forward,such as expansion or reduction plan,RF optimization plan,site adjustment or antenna deployment platform integration plan,which can guide daily optimization work.