通信学报2025，Vol.46Issue(4)：91-107,17.DOI:10.11959/j.issn.1000-436x.2025057
基于改进量子遗传和QoS感知方法的车联网云雾计算系统任务调度策略
Task scheduling strategy for cloud-fog computing system of IoV based on improved quantum genetics and QoS awareness method
摘要
Abstract
An improved quantum genetic and QoS-aware scheduling strategy was proposed to address concurrent conges-tion,QoS diversity,and complex resource allocation in IoV cloud-fog computing systems.Using quantum encoding and rotation-based optimization,along with QoS balancing parameters and load balancing penalties,the proposed strategy improved makespan,energy efficiency,and scheduling flexibility.Simulation results show that the proposed strategy is up to 69.0%reduction in makespan and strong performance across multiple metrics,supporting practical applicability.关键词
车联网云雾计算系统/任务调度/个性化服务质量需求/改进的量子遗传算法/网络拥塞Key words
IoV cloud-fog computing system/task scheduling/personalized QoS requirement/improved quantum genetic algorithm/network congestion分类
电子信息工程引用本文复制引用
张福琦,姜会林,刘富,侯涛,刘禹佳,关岳琦,沐星彤..基于改进量子遗传和QoS感知方法的车联网云雾计算系统任务调度策略[J].通信学报,2025,46(4):91-107,17.基金项目
国家自然科学基金资助项目(No.51835006,No.52021003) （No.51835006,No.52021003）
吉林省科技发展计划基金资助项目(No.20210101184JC) （No.20210101184JC）
科技创新2025重大专项基金资助项目(No.2022Z018) （No.2022Z018）
吉林省教育厅科学研究基金资助项目(No.JJKH20230707KJ) The National Natural Science Foundation of China(No.51835006,No.52021003),Jilin Province Science and Technology Development Plan Project(No.20210101184JC),Science and Technology Innovation 2025 Major Special Project(No.2022Z018),Scientific Research Project of Education Department of Jilin Province(No.JJKH20230707KJ) （No.JJKH20230707KJ）
