摘要
文章提出一种基于知识图谱的计算机网络流量分配管理研究方法,旨在优化网络流量分配。利用知识图谱技术构建计算机网络流量的知识图谱。结合图算法和复杂网络特征分析方法,提取不同网络状态下的节点特征和整体网络特征,进而实现节点的重要性排序和网络状态的整体评价。实验结果表明,该方法能准确识别计算机网络中的关键节点信息,并科学地刻画其网络连接关系,为计算机网络实现更高效的流量分配和管理提供有效手段。
This paper presents a research method for computer network traffic distribution management based on knowledge graphs,aimed at optimizing network traffic distribution.It constructs a knowledge graph of computer network traffic using knowledge graph technology.By combining graph algorithms and complex network feature analysis methods,it extracts node features and overall network characteristics under different network states,thus achieving importance ranking of nodes and comprehensive evaluation of the network state.The experimental results show that this method can accurately identify key node information in computer networks and scientifically describe the network connection relationships,providing an effective means for more efficient traffic allocation and management in computer networks.
作者
王志涛
Wang Zhitao(Shandong Huayu University of Technology,Dezhou 253034,China)
出处
《办公自动化》
2025年第3期17-19,共3页
Office Informatization
关键词
知识图谱
网络流量
智能分配
计算机技术
knowledge graph
network traffic
intelligent distribution
computer technology
