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云边端三级协同架构下动态资源调度与安全决策优化OA

中文摘要英文摘要

根据云边端协同环境的安全防护要求,该文提出一种通过融合学习与意图编排的动态资源调度协同优化框架.面对资源分配僵化、响应能力不足的威胁与挑战,通过研究构建起"云端—边缘—终端"3 级智能协同架构,实现资源灵活调度与安全迅速决策的闭环联动.实验结果表明,该框架能显著提升威胁检测率与响应速度,并优化系统整体资源利用效率.为构建自适应主动安全防御体系提供新思路、新方案.

According to the security protection requirements of cloud edge-end collaborative environments,this paper propos-es a dynamic resource scheduling collaborative optimization framework that integrates learning and intention orchestration.Faced with the threats and challenges of rigid resource allocation and insufficient response capabilities,a"cloud-edge-terminal"three-level intelligent collaboration architecture has been built through research to achieve closed-loop linkage between flexible resource scheduling and rapid security decision-making.Experimental results show that this framework can significantly improve threat de-tection rate and response speed,and optimize the overall resource utilization efficiency of the system,so as to provide new ideas and new solutions for building an adaptive active security defense system.

覃春平;黄祖存;黄彩虹

广西科技师范学院 物理与信息工程学院,广西 来宾 546199广西科技师范学院 物理与信息工程学院,广西 来宾 546199中国移动通信集团广西有限公司来宾分公司,广西 来宾 546199

信息技术与安全科学

云边端协同网络安全资源调度动态决策性能分析

cloud-edge-end collaborationnetwork securityresource schedulingdynamic decision-makingperformance anal-ysis

《科技创新与应用》 2026 (28)

7-10,4

广西科技师范学院科研基金重点(B档)项目(GXKS2025ZD013)

10.19981/j.CN23-1581/G3.2026.28.002

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