物联网环境下边缘计算资源管理与调度方法  

Edge computing resource management and scheduling in Internet of Things environment

作　　者：包煜玺 王俊人 BAO Yuxi;WANG Junren(Chongqing College of International Business and Economics,Chongqing 401520,China;Chongqing College of Mobile Communication,Chongqing 401520,China)

机构地区：[1]重庆对外经贸学院,重庆401520 [2]重庆移通学院,重庆401520

出　　处：《计算机应用文摘》2025年第9期230-232,共3页

摘　　要：随着物联网技术的快速发展,边缘计算成为连接云端与终端设备的关键技术。针对传统资源管理方法在异构设备以及动态网络环境中的局限性,文章提出了基于机器学习的边缘计算资源智能调度策略。通过构建多维度资源评估模型以及动态负载均衡机制,边缘计算节点资源利用率平均提高37.5%,峰值利用率提升42.6%,为物联网复杂应用场景提供了高效可靠的计算支持。With the rapid development of the Internet of Things technology,edge computing has become a key technology to connect the cloud and terminal equipment.Aiming at the limitations of traditional resource management methods in heterogeneous devices and dynamic network environments,an intelligent resource scheduling strategy for edge computing based on machine learning is proposed.By building a multi-dimensional resource evaluation model and dynamic load balancing mechanism,the resource utilization of edge computing nodes is significantly improved,with an average increase of 37.5%and peak utilization of 42.6%,providing efficient and reliable computing support for complex iot application scenarios.

关 键 词：物联网 边缘计算 资源管理 调度方法 智能优化 

分 类 号：TN925[电子电信—通信与信息系统]