西安电子科技大学学报（自然科学版）2024，Vol.51Issue(3)：63-75,13.DOI:10.19665/j.issn1001-2400.20230802
智慧交通场景下云边端协同的多目标优化卸载决策
Multi-objective optimization offloading decision with cloud-side-end collaboration in smart transportation scenarios
摘要
Abstract
With the rapid development of intelligent transportation,the cloud computing network and the edge computing network,the information interaction among vehicle terminal,road base unit and central cloud server becomes more and more frequent.In view of how to efficiently realize vehicle-road-cloud integration fusion sensing,group decision making and reasonable allocation of re-sources between each server and the servers under the cloud-edge-terminal collaborative computing scenario of intelligent transportation,a network architecture based on the comprehensive convergence of the cloud-edge-terminal and intelligent transportation is designed.A network architecture based on the comprehensive integration of cloud-side-end and intelligent transportation is designed.Under this architecture,by reasonably dividing the task types,each server selectively caches and offloads them;under the collaborative computing scenario of the cloud-side-end of intelligent transportation,an adaptive caching model for tasks,a task offloading delay model,a system energy loss model,a model for evaluating the dissatisfaction of in-vehicle users with the quality of service,and a model for the multi-objective optimization problem are designed in turn,and a multi-objective optimization task offloading decision-making scheme is given based on the improved non-dominated genetic algorithms.Experimental results show that the proposed scheme can effectively reduce the delay and energy consumption brought by the task offloading process,improve the utilization rate of system resources,and bring better service experience to the vehicle user.关键词
智慧交通/云边端协同计算/卸载决策/多目标优化算法/非支配遗传算法Key words
smart transportation/cloud edge collaborative computing/offloading decision/multi-objective optimization algorithm/non-dominated select genetic algorithms Ⅱ(NSGA-Ⅱ)algorithm分类
信息技术与安全科学引用本文复制引用
朱思峰,宋兆威,陈昊,朱海,乔蕊..智慧交通场景下云边端协同的多目标优化卸载决策[J].西安电子科技大学学报（自然科学版）,2024,51(3):63-75,13.基金项目
国家自然科学基金(62172457) （62172457）
天津市自然科学基金重点项目(22JCZDJC00600) （22JCZDJC00600）
河南省高校科技创新人才支持计划(23HASTIT029) （23HASTIT029）
