摘要
针对当前网络资源数据包转发准确性较低、转发效率较差,网络资源管理水平较差的问题,提出基于大数据技术的网络资源管理系统设计。建立网络资源管理信息化大数据分析模型,采用大数据融合技术进行网络资源管理的信息化调度,采用模糊信息特征提取网络资源管理的关联信息,通过数据挖掘结果重构网络资源管理信息化评估数据的频繁项集关联规则,提取网络资源管理信息化水平特征分布集。采用模糊关联特征检测方法进行网络资源信息分布式检测,结合嵌入式的B/S构架方法进行网络资源管理系统设计。仿真结果表明,采用该方法进行网络资源数据包转发的准确性较好、效率较高,具有一定有效性。
In view of the low accuracy and poor efficiency of network resource packet forwarding,which leads to the poor level of network resource management,this paper proposes the design of network resource management system based on big data technology.The big data analysis model of network resource management informatization is established and the big data fusion technology is used for the information scheduling of network resource management.Besides,the association information of network resource management is extracted by using fuzzy information features.Further,the association rules of frequent item sets of evaluation data of network resource management informatization are reconstructed through data mining results,and the feature distribution set of network resource management informatization level is extracted.The fuzzy correlation feature detection method is used for distributed detection of network resource information,and the embedded B/S architecture method is used to design the network resource management system.The simulation results show that the method has good accuracy,high efficiency and certain effectiveness.
作者
宋龙虎
SONG Longhu(Hunan Institute of Traffic Engineering,Hengyang 421000,China)
出处
《信息工程大学学报》
2020年第6期747-751,共5页
Journal of Information Engineering University
关键词
大数据技术
网络资源管理
信息化
模糊信息特征提取
big data technology
network resource management
informatization
fuzzy information feature extraction
