基于边缘计算的动态任务调度方法研究

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中图分类号：TN929.5 文献标志码：A 文章编号：2095-2945（2025）19-0052-04

Abstract：Inedge computing environments，unknownnode performanceand dynamicnetwork changes leadtoineficient resourcealocationandaffecttheoverallperformanceofthesystem.Taddressthisproblem，thisresearchproposesaDynamic AdaptiveScheduling（DAS）algorithm basedondynamic mapping.DASachievessmartertaskalocationbyintroducingnew processingspeedmetricsanddynamicperformancemapingmechanisms thatconsiderrouting delays.Experimentalresultsshow that DAS reduces the average task completion time by 35.5% ，reduces energy consumption by 26.9% ，and achieves a resource utilization of 92% .These improvements significantly improve theoverall performance and eficiency of the edgecomputing system.

Keywords： edge computing; dynamic task scheduling; energy consumption model; resource alocation; 5G

随着物联网和5G技术的快速发展，边缘计算已成为支撑现代智能应用的关键技术。（剩余5825字）