基于邊緣計(jì)算的動(dòng)態(tài)任務(wù)調(diào)度方法研究
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中圖分類號(hào)：TN929.5 文獻(xiàn)標(biāo)志碼：A 文章編號(hào)：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
隨著物聯(lián)網(wǎng)和5G技術(shù)的快速發(fā)展，邊緣計(jì)算已成為支撐現(xiàn)代智能應(yīng)用的關(guān)鍵技術(shù)。（剩余5825字）