计算机工程与科学2025，Vol.47Issue(7)：1205-1214,10.DOI:10.3969/j.issn.1007-130X.2025.07.007
车-边-云协同的任务卸载调度和资源分配机制研究
Research on task offloading scheduling and resource allocation mechanism of vehicle-edge-cloud collaboration
摘要
Abstract
On the basis of vehicular edge computing,vehicle-edge-cloud collaboration can further en-able coordination between vehicles and the cloud,providing vehicles with additional computing and storage resources to achieve a smarter,safer,and more reliable driving experience.In traditional re-search,the computational tasks of vehicle users are assumed to be independent and indivisible,with no dependencies between tasks.However,in real-world applications,with the advancement of artificial intel-ligence,many applications consist of multiple interdependent components,making the consideration of such dependency-based computational demands essential.Therefore,this paper focuses on a multi-vehicle,multi-task edge computing scenario under vehicle-edge-cloud collaboration,constructing a model that accounts for vehicle-edge-cloud coordination,task dependencies,and task priorities to address task offloading decisions,task scheduling decisions,and resource allocation.With the goal of minimizing system energy consumption,a joint optimization algorithm JPDDO based on a priority algorithm and a double deep Q-network(DDQN)is proposed:Firstly,prioritizing multiple sets of dependent tasks;Secondly,solving the offloading decisions,scheduling decisions,computing frequency,and transmission power for the resulting task queue using the DDQN algorithm.Simulation results validate the effective-ness of the proposed method,demonstrating consistently low energy consumption under different net-work environments and parameter settings.关键词
车辆边缘计算/车-边-云/任务依赖/任务优先级/任务卸载与调度/资源分配Key words
vehicle edge computing/vehicle-edge-cloud/task dependency/task priority/task offload-ing and scheduling/resource allocation分类
信息技术与安全科学引用本文复制引用
赵鹏,邝祝芳..车-边-云协同的任务卸载调度和资源分配机制研究[J].计算机工程与科学,2025,47(7):1205-1214,10.基金项目
国家自然科学基金(62072477) （62072477）
湖南省自然科学基金(2024JJ5648) （2024JJ5648）
中国高校产学研创新基金(2021FNA04009) （2021FNA04009）
