物联网的边缘计算资源调度与优化策略  

Edge Computing Resource Scheduling and Optimization Strategy of the Internet of Things

作　　者：崔星星 李尚轩 CUI Xingxing;LI Shangxuan(Zhongtongfu Consulting Design and Research Institute Co.,Ltd.,Nanjing,China,210019)

机构地区：[1]中通服咨询设计研究院有限公司,南京210019

出　　处：《福建电脑》2025年第4期36-41,共6页Journal of Fujian Computer

摘　　要：为提升系统性能和资源利用效率,本文探讨优化物联网中边缘计算资源的调度策略,并设计综合性的边缘计算资源调度与优化方案。通过采用分布式数据处理模式,结合动态任务卸载与分配、能耗管理和数据缓存优化等技术,以提高系统性能和资源利用效率。实验结果表明,与传统方法相比,本文的优化策略能显著减少任务响应时间,有效降低节点能耗、提高带宽利用率和缓存命中率。In order to improve system performance and resource utilization efficiency,this paper discusses the scheduling strategy for optimizing edge computing resources in the Internet of Things.This paper discusses the related technologies from the aspects of distributed data processing mode,dynamic task unloading and allocation,energy consumption management and data cache optimization,and designs a comprehensive edge computing resource scheduling and optimization scheme.The experimental results show that the optimization strategy proposed in this paper can reduce task response time,lower node energy consumption,and improve bandwidth utilization and cache hit rate.It can provide an effective solution for the efficient operation of IoT systems and has good application value and practical significance.

关 键 词：物联网 边缘计算 资源调度 数据管理 

分 类 号：TN929.5[电子电信—通信与信息系统]