信息工程大学学报2026，Vol.27Issue(4)：414-421,8.DOI:10.3969/j.issn.1671-0673.2026.04.005
基于随机有色Petri网的5G服务功能链韧性评估方法
Resilience Evaluation Method for 5G Service Function Chains Based on Colored Stochastic Petri Nets
摘要
Abstract
Aiming at the problems of network element link surge,signaling scale expansion,and real-time state evaluation difficulties in the process of 5G core network transformation to cloud and hierar-chical decoupling,a resilience evaluation method and modeling framework based on stochastic colored Petri nets is proposed.The proposed model targets typical 5G core network scenarios.By introducing colored tokens to distinguish different service flows and incorporating stochastic transitions to simulate network function processing delays and failure-recovery processes,it enables fine-grained modeling of the system's dynamic behavior under attack and load conditions.On this basis,a resilience index sys-tem including recovery efficiency,business completion rate,service function chain(SFC)availability and invulnerability is constructed to comprehensively quantify the service continuity,reliability and re-covery ability of the system under disturbance.Experimental results show that the model can effec-tively capture the resilience changes of the core network under attack and load,and identify the bottle-neck network elements.After the bottleneck network element is expanded,the system request comple-tion rate is increased by 2.4 percentage points,the availability rate is increased by 5.24 percentage points,and the invulnerability and recovery efficiency reach their optimal values.This method pro-vides a unified dynamic modeling framework for the resilience evaluation of 5G core networks,expands the application scope of Petri nets in the field of network reliability,and provides a theoretical basis and practical guidance for network planning and resource scheduling.关键词
Petri网/5G核心网/云原生/韧性/评估Key words
Petri nets/5G core network/cloud-native/resilience/evaluation分类
信息技术与安全科学引用本文复制引用
吴文昊,杨杰,游伟,徐旌宸..基于随机有色Petri网的5G服务功能链韧性评估方法[J].信息工程大学学报,2026,27(4):414-421,8.基金项目
国家重点研发计划(2022YFB2902204) （2022YFB2902204）
河南省顶尖人才培养计划(244500510012) （244500510012）
河南省重点研发专项(231111211000) （231111211000）
