摘要
网络大数据平台能够有效分类数据,也是实现全新应用及网民查询体验得到提高的主要途径。以此,就设计资源占用率较低,并且稳定新较高的网络大数据平台自动分类处理系统,网民能够直接使用系统显示端,主要目的就是获得网络大数据,显示大数据获得的结构及特征分类结果。服务器端使用SOA体系结构,能够提供网络大数据平台的数据分类服务,在网络大数据中融入特征数据分类标准,并且传递到逻辑层处理端。最后,对设计系统进行实验,实验结果表示系统具有良好的稳定性,资源占用率比较低。
the Internet big data platform can effectively classify data,which is also the main way to realize the new application and improve the Internet search experience.On this basis,the design of a new and relatively high network big data platform automatic classification processing system with low resource occupancy rate and stability,users can directly use the system display terminal,the main purpose is to obtain network big data,The results of structure and feature classification obtained by big data are shown.Using the SOA architecture,the server can provide the data classification service of big data platform,integrate the characteristic data classification standard into the network big data,and transfer it to the logic layer processing terminal.Finally,the design of the system The experimental results show that the system has good stability and low resource occupancy rate.
作者
郇林
XUN Lin(Shaanxi Polytechnic Institute,Xi’an 712000,China)
出处
《电子设计工程》
2019年第23期167-170,175,共5页
Electronic Design Engineering
关键词
云计算背景
大数据
自动分类处理
SOA
cloud computing background
big data
automatic classification processing
SOA
作者简介
郇林(1985-),男,陕西西安人,讲师。研究方向:计算机应用。
