空天预警研究学报2026，Vol.40Issue(3)：216-221,6.DOI:10.3969/j.issn.2097-180X.2026.03.013
面向QoS与负载均衡的边缘计算能耗感知资源调度算法
An energy-aware resource scheduling algorithm for edge computing oriented to QoS and load balancing
摘要
Abstract
To address the resource bottleneck problem caused by the surge of terminals and tasks in edge com-puting,as well as the deficiency of existing scheduling algorithms neglecting the multi-objective collaborative op-timization of quality of service(QoS),load,and energy consumption,a QoS-oriented energy-aware load-balanc-ing resource scheduling(QEALBRS)algorithm is proposed.Firstly,a QoS prediction model integrating spa-tial-temporal and energy consumption features is constructed,and precise resource demand prediction is achieved by combining graph neural networks and collaborative filtering.Secondly,a multi-objective scheduling model with the joint goals of minimizing QoS loss,balancing load and optimizing energy consumption is established.Fi-nally,a double-depth Q-network(DDQN)-beetle antennae search algorithm is designed for efficient solution.Ex-perimental results show that under the premise of ensuring QoS,the QEALBRS algorithm significantly improves resource utilization and load balancing,with system energy consumption and completion time reduced.关键词
边缘计算/资源调度/能耗感知/负载均衡/QoS预测模型/双重深度Q网络-天牛须搜索策略Key words
edge computing/resource scheduling/energy-aware/load balancing/QoS prediction model/DDQN-beetle antennae search strategy分类
信息技术与安全科学引用本文复制引用
谢英辉,刘亮..面向QoS与负载均衡的边缘计算能耗感知资源调度算法[J].空天预警研究学报,2026,40(3):216-221,6.基金项目
湖南省自然科学基金项目(2024JJ8025,2025JJ80326) （2024JJ8025,2025JJ80326）
长沙民政职业技术学院自科项目(25mypy16) （25mypy16）
