基于大数据分析的复杂网络节点管理与资源调度技术  

Node Management and Resource Scheduling Technology of Complex Network Based on Big Data Analysis

作　　者：周建人[1] ZHOU Jianren(The 54th Research Institute of CETC,Shijiazhuang 050081,China)

机构地区：[1]中国电子科技集团公司第五十四研究所,河北石家庄050081

出　　处：《通信电源技术》2025年第5期246-248,共3页Telecom Power Technology

摘　　要：随着信息技术的不断发展,复杂的网络已经广泛应用于通信、能源、运输等领域。如何对复杂网络中的节点进行有效管理并进行资源调度,成为网络性能提升的关键问题。通过分析当前复杂的网络节点管理、资源调度现状以及存在的问题,指出大数据技术在提高管理效率和资源利用率方面的潜力。同时,提出节点管理优化、资源调度优化以及基于大数据分析的协同优化策略,提高网络资源使用效率和系统健壮性。With the continuous development of information technology,complex networks have been widely used in communication,energy,transportation and other fields.How to effectively manage nodes in complex networks and schedule resources has become a key issue to improve network performance.By analyzing the current complex network node management,resource scheduling status and existing problems,this paper points out the potential of big data technology in improving management efficiency and resource utilization.At the same time,node management optimization,resource scheduling optimization and collaborative optimization strategy based on big data analysis are proposed to improve the efficiency of network resources and the robustness of the system.

关 键 词：复杂网络 大数据分析 节点管理 资源调度 协同优化 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]